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|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Identifying Frostquakes in Central Canada and Neighbouring Regions in the United States with Social Media||Anderw C.W. Leung
William A. Gough
|Citizen Empowered Mapping||English||2017||Following the ice storm of December 2013 in southern Ontario, the general public heard noises that resembled falling trees and reported these occurrences on social media. These were identified as a rare phenomenon called cryoseism, or more commonly known as frostquakes. These occurrences became the first large-scale documented frostquakes in Canada. Using meteorological metrics, we were able to forecast two subsequent frostquake events in January 2014 that coincided with reports on social media. In total, six more episodes of frostquakes as well as their locations were identified in January and February of 2014. Results showed that in central Canada, frostquake occurrences ranged from Windsor, Ontario to the west to Montreal, Quebec to the east and from Niagara Falls, Ontario to the south to North Bay, Ontario to the north. In the United States, the reports came from states bordering the Great Lakes and the New England areas. Two frostquake clusters were identified, one in and around the Greater Toronto Area and the other in eastern Wisconsin. Frostquakes were most frequently heard at nighttime. We critically assess the use of social media as an observation network including the possibility of false positives and population bias. This study demonstrates that rare phenomena such as frostquakes can be identified and assessed using data gathered through social media.||0||0|
|Motivations for Contributing to Health-Related Articles on Wikipedia: An Interview Study||Farič N
|Journal of Medical Internet Research||English||3 December 2014||Background: Wikipedia is one of the most accessed sources of health information online. The current English-language Wikipedia contains more than 28,000 articles pertaining to health.
Objective: The aim was to characterize individuals’ motivations for contributing to health content on the English-language Wikipedia.
Methods: A set of health-related articles were randomly selected and recent contributors invited to complete an online questionnaire and follow-up interview (by Skype, by email, or face-to-face). Interviews were transcribed and analyzed using thematic analysis and a realist grounded theory approach.
Results: A total of 32 Wikipedians (31 men) completed the questionnaire and 17 were interviewed. Those completing the questionnaire had a mean age of 39 (range 12-59) years; 16 had a postgraduate qualification, 10 had or were currently studying for an undergraduate qualification, 3 had no more than secondary education, and 3 were still in secondary education. In all, 15 were currently working in a health-related field (primarily clinicians). The median period for which they have been an active editing Wikipedia was 3-5 years. Of this group, 12 were in the United States, 6 were in the United Kingdom, 4 were in Canada, and the remainder from another 8 countries. Two-thirds spoke more than 1 language and 90% (29/32) were also active contributors in domains other than health. Wikipedians in this study were identified as health professionals, professionals with specific health interests, students, and individuals with health problems. Based on the interviews, their motivations for editing health-related content were summarized in 5 strongly interrelated categories: education (learning about subjects by editing articles), help (wanting to improve and maintain Wikipedia), responsibility (responsibility, often a professional responsibility, to provide good quality health information to readers), fulfillment (editing Wikipedia as a fun, relaxing, engaging, and rewarding activity), and positive attitude to Wikipedia (belief in the value of Wikipedia). An additional factor, hostility (from other contributors), was identified that negatively affected Wikipedians’ motivations.Conclusions: Contributions to Wikipedia’s health-related content in this study were made by both health specialists and laypeople of varying editorial skills. Their motivations for contributing stem from an inherent drive based on values, standards, and beliefs. It became apparent that the community who most actively monitor and edit health-related articles is very small. Although some contributors correspond to a model of “knowledge philanthropists,” others were focused on maintaining articles (improving spelling and grammar, organization, and handling vandalism). There is a need for more people to be involved in Wikipedia’s health-related content.
|Collaborative projects (social media application): About Wikipedia, the free encyclopedia||Kaplan A.
|Business Horizons||English||2014||Collaborative projects-defined herein as social media applications that enable the joint and simultaneous creation of knowledge-related content by many end-users-have only recently received interest among a larger group of academics. This is surprising since applications such as wikis, social bookmarking sites, online forums, and review sites are probably the most democratic form of social media and reflect well the idea of user-generated content. The purpose of this article is to provide insight regarding collaborative projects; the concept of wisdom of crowds, an essential condition for their functioning; and the motivation of readers and contributors. Specifically, we provide advice on how firms can leverage collaborative projects as an essential element of their online presence to communicate both externally with stakeholders and internally among employees. We also discuss how to address situations in which negative information posted on collaborative projects can become a threat and PR crisis for firms.||0||0|
|Comparing the pulses of categorical hot events in Twitter and Weibo||Shuai X.
|HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media||English||2014||The fragility and interconnectivity of the planet argue compellingly for a greater understanding of how different communities make sense of their world. One of such critical demands relies on comparing the Chinese and the rest of the world (e.g., Americans), where communities' ideological and cultural backgrounds can be significantly different. While traditional studies aim to learn the similarities and differences between these communities via high-cost user studies, in this paper we propose a much more efficient method to compare different communities by utilizing social media. Specifically, Weibo and Twitter, the two largest microblogging systems, are employed to represent the target communities, i.e. China and the Western world (mainly United States), respectively. Meanwhile, through the analysis of the Wikipedia page-click log, we identify a set of categorical 'hot events' for one month in 2012 and search those hot events in Weibo and Twitter corpora along with timestamps via information retrieval methods. We further quantitatively and qualitatively compare users' responses to those events in Twitter and Weibo in terms of three aspects: popularity, temporal dynamic, and information diffusion. The comparative results show that although the popularity ranking of those events are very similar, the patterns of temporal dynamics and information diffusion can be quite different.||0||0|
|Kondenzer: Exploration and visualization of archived social media||Alonso O.
|Proceedings - International Conference on Data Engineering||English||2014||Modern social networks such as Twitter provide a platform for people to express their opinions on a variety of topics ranging from personal to global. While the factual part of this information and the opinions of various experts are archived by sources such as Wikipedia and reputable news articles, the opinion of the general public is drowned out in a sea of noise and 'un-interesting' information. In this demo we present Kondenzer - an offline system for condensing, archiving and visualizing social data. Specifically, we create digests of social data using a combination of filtering, duplicate removal and efficient clustering. This gives a condensed set of high quality data which is used to generate facets and create a collection that can be visualized using the PivotViewer control.||0||0|
|Learning from a wiki way of learning||Page K.L.
|Studies in Higher Education||English||2014||There is a growing need to design learning experiences in higher education that develop collaborative and mediated social writing practices. A wiki way of learning addresses these needs. This paper reports findings from a case study involving 58 postgraduate students who in small groups participated over eight weeks in a mediated collaborative writing project with and through wiki contexts. The project was not assessed but designed for task-based domain learning. Evaluation of the project was conducted using data drawn from multiple sources collected before, during and after the project. Findings show that participation in the project had a positive relationship with student exam performance, and web familiarity. Patterns of individual and group wiki project participation, and sex differences in participation, are discussed. © 2014 © 2014 Society for Research into Higher Education.||0||0|
|Multilinguals and wikipedia editing||Hale S.A.||WebSci 2014 - Proceedings of the 2014 ACM Web Science Conference||English||2014||This article analyzes one month of edits to Wikipedia in order to examine the role of users editing multiple language editions (referred to as multilingual users). Such multilingual users may serve an important function in diffusing information across different language editions of the encyclopedia, and prior work has suggested this could reduce the level of self-focus bias in each edition. This study finds multilingual users are much more active than their single-edition (monolingual) counterparts. They are found in all language editions, but smaller-sized editions with fewer users have a higher percentage of multilingual users than larger-sized editions. About a quarter of multilingual users always edit the same articles in multiple languages, while just over 40% of multilingual users edit different articles in different languages. When non-English users do edit a second language edition, that edition is most frequently English. Nonetheless, several regional and linguistic cross-editing patterns are also present. Copyright||0||0|
|Okinawa in Japanese and English Wikipedia||Hale S.A.||Conference on Human Factors in Computing Systems - Proceedings||English||2014||This research analyzes edits by foreign-language users in Wikipedia articles about Okinawa, Japan, in the Japanese and English editions of the encyclopedia. Okinawa, home to both English and Japanese speaking users, provides a good case to look at content differences and cross-language editing in a small geographic area on Wikipedia. Consistent with prior work, this research finds large differences in the representations of Okinawa in the content of the two editions. The number of users crossing the language boundary to edit both editions is also extremely small. When users do edit in a non-primary language, they most frequently edit articles that have cross-language (interwiki) links, articles that are edited more by other users, and articles that have more images. Finally, the possible value of edits from foreign-language users and design possibilities to motivate wider contributions from foreign-language users are discussed.||0||0|
|Trendspedia: An Internet observatory for analyzing and visualizing the evolving web||Kang W.
|Proceedings - International Conference on Data Engineering||English||2014||The popularity of social media services has been innovating the way of information acquisition in modern society. Meanwhile, mass information is generated in every single day. To extract useful knowledge, much effort has been invested in analyzing social media contents, e.g., (emerging) topic discovery. With these findings, however, users may still find it hard to obtain knowledge of great interest in conformity with their preference. In this paper, we present a novel system which brings proper context to continuously incoming social media contents, such that mass information can be indexed, organized and analyzed around Wikipedia entities. Four data analytics tools are employed in the system. Three of them aim to enrich each Wikipedia entity by analyzing the relevant contents while the other one builds an information network among the most relevant Wikipedia entities. With our system, users can easily pinpoint valuable information and knowledge they are interested in, as well as navigate to other closely related entities through the information network for further exploration.||0||0|
|Wiki Technology Enhanced Group Project to Promote Active Learning in a Neuroscience Course for First-Year Medical Students: An Exploratory Study||Mi M.
|Medical Reference Services Quarterly||English||2014||A wiki group project was integrated into a neuroscience course for first-year medical students. The project was developed as a self-directed, collaborative learning task to help medical students review course content and make clinically important connections. The goals of the project were to enhance students' understanding of key concepts in neuroscience, promote active learning, and reinforce their information literacy skills. The objective of the exploratory study was to provide a formative evaluation of the wiki group project and to examine how wiki technology was utilized to enhance active and collaborative learning of first-year medical students in the course and to reinforce information literacy skills.||0||0|
|A generic open world named entity disambiguation approach for tweets||Habib M.B.
Van Keulen M.
|IC3K 2013; KDIR 2013 - 5th International Conference on Knowledge Discovery and Information Retrieval and KMIS 2013 - 5th International Conference on Knowledge Management and Information Sharing, Proc.||English||2013||Social media is a rich source of information. To make use of this information, it is sometimes required to extract and disambiguate named entities. In this paper, we focus on named entity disambiguation (NED) in twitter messages. NED in tweets is challenging in two ways. First, the limited length of Tweet makes it hard to have enough context while many disambiguation techniques depend on it. The second is that many named entities in tweets do not exist in a knowledge base (KB). We share ideas from information retrieval (IR) and NED to propose solutions for both challenges. For the first problem we make use of the gregarious nature of tweets to get enough context needed for disambiguation. For the second problem we look for an alternative home page if there is no Wikipedia page represents the entity. Given a mention, we obtain a list of Wikipedia candidates from YAGO KB in addition to top ranked pages from Google search engine. We use Support Vector Machine (SVM) to rank the candidate pages to find the best representative entities. Experiments conducted on two data sets show better disambiguation results compared with the baselines and a competitor.||0||0|
|Analyzing multi-dimensional networks within mediawikis||Brian C. Keegan
|Proceedings of the 9th International Symposium on Open Collaboration, WikiSym + OpenSym 2013||English||2013||The MediaWiki platform supports popular socio-technical systems such as Wikipedia as well as thousands of other wikis. This software encodes and records a variety of rela- Tionships about the content, history, and editors of its arti- cles such as hyperlinks between articles, discussions among editors, and editing histories. These relationships can be an- Alyzed using standard techniques from social network analy- sis, however, extracting relational data from Wikipedia has traditionally required specialized knowledge of its API, in- formation retrieval, network analysis, and data visualization that has inhibited scholarly analysis. We present a soft- ware library called the NodeXL MediaWiki Importer that extracts a variety of relationships from the MediaWiki API and integrates with the popular NodeXL network analysis and visualization software. This library allows users to query and extract a variety of multidimensional relationships from any MediaWiki installation with a publicly-accessible API. We present a case study examining the similarities and dif- ferences between dierent relationships for the Wikipedia articles about \Pope Francis" and \Social media." We con- clude by discussing the implications this library has for both theoretical and methodological research as well as commu- nity management and outline future work to expand the capabilities of the library. Categories and Subject Descriptors H.4 [Information Systems Applications]: Miscellaneous; D.2.8 [Software Engineering]: Metricscomplexity mea- sures, performance measures General Terms System. Copyright 2010 ACM.||0||0|
|Assessing adoption of wikis in a Singapore secondary school: Using the UTAUT model||Toh C.H.||Proceedings of the 2013 IEEE 63rd Annual Conference International Council for Education Media, ICEM 2013||English||2013||This quantitative study explores students' motivation towards the use of wikis to encourage self-directed learning (SDL) and collaborative learning (CoL). SDL and CoL are the goals for Singapore's Ministry of Education Information and Communication Technology Masterplan 3. Wikis were used in the project to support reflection and communication within groups. Five classes consisting of 181 Secondary Two students from a Singapore secondary school were involved in this project. The participants were selected based on their mandatory involvement in an integrated 5-month project initiated by the school. As the participation in the study was voluntary, 144 of the 181 students responded. Sixty nine of the students had no prior experience with wikis. Among the 75 students who had prior experience, most of them used wikis to obtain information while 46 of them shared information using wikis and 51 of them used it to work on collaborative projects with others. The variance explained by Unified Theory of Acceptance and Use of Technology (UTAUT) was 32.4 percent. The results showed that performance expectancy and facilitating condition were found to have a significant relationship with behavioural intention; while effort expectancy and social influence did not, contrary to many prior studies. Modifying the original UTAUT to include three other factors, attitude, trust and comfort level increased the variance explained to 37 percent. However, trust and comfort level were found to have a significant relationship with behavioural intention in the modified UTAUT. This study contributes to UTAUT's theoretical validity and empirical applicability and to the management of technology based initiatives in education. The findings provide insights to educators and schools considering the use of wikis and other forms of social media into their lessons.||0||0|
|Automatic summarization of events from social media||Chua F.C.T.
|Proceedings of the 7th International Conference on Weblogs and Social Media, ICWSM 2013||English||2013||Social media services such as Twitter generate phenomenal volume of content for most real-world events on a daily basis. Digging through the noise and redundancy to understand the important aspects of the content is a very challenging task. We propose a search and summarization framework to extract relevant representative tweets from a time-ordered sample of tweets to generate a coherent and concise summary of an event. We introduce two topic models that take advantage of temporal correlation in the data to extract relevant tweets for summarization. The summarization framework has been evaluated using Twitter data on four real-world events. Evaluations are performed using Wikipedia articles on the events as well as using Amazon Mechanical Turk (MTurk) with human readers (MTurkers). Both experiments show that the proposed models outperform traditional LDA and lead to informative summaries. Copyright © 2013, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.||0||0|
|Building, maintaining, and using knowledge bases: A report from the trenches||Deshpande O.
|Proceedings of the ACM SIGMOD International Conference on Management of Data||English||2013||A knowledge base (KB) contains a set of concepts, instances, and relationships. Over the past decade, numerous KBs have been built, and used to power a growing array of applications. Despite this flurry of activities, however, surprisingly little has been published about the end-to-end process of building, maintaining, and using such KBs in industry. In this paper we describe such a process. In particular, we describe how we build, update, and curate a large KB at Kosmix, a Bay Area startup, and later at WalmartLabs, a development and research lab of Walmart. We discuss how we use this KB to power a range of applications, including query understanding, Deep Web search, in-context advertising, event monitoring in social media, product search, social gifting, and social mining. Finally, we discuss how the KB team is organized, and the lessons learned. Our goal with this paper is to provide a real-world case study, and to contribute to the emerging direction of building, maintaining, and using knowledge bases for data management applications. Copyright||0||0|
|Capturing intra-operative safety information using surgical wikis||Edwards M.
|Informatics for Health and Social Care||English||2013||Background Expert surgeons use a mass of intra-operative information, as well as pre-and post-operative information to complete operations safely. Trainees acquired this intra-operative knowledge at the operating table, now largely diminished by the working time directive. Wikis offer unexplored approaches to capturing and disseminating expert knowledge to further promote safer surgery for the trainee.Methods Grafting an abdominal aortic aneurysm represents a potentially high-risk operation demanding extreme safety measures. Operative details, presented on a surgical wiki in the form of a script and content analysed to classify types of safety information.Results The intra-operative part of the script contained 2,743 items of essential surgical information, comprising 21 sections, 405 steps and 2,317 items of back-up information; 155 (5.7%) of them were also specific intra-operative safety checks. Best case scenarios consisted of 1,077 items of intra-operative information, 69 of which were safety checks. Worse case and rare scenarios required a further 1,666 items of information, including 86 safety checks.Conclusions Wikis are relevant to surgical practice specifically as a platform for knowledge sharing and optimising the available operating time of trainees, as a very large amount of minutely detailed information essential for a safe major operation can be captured.||0||0|
|Collective learning paradigm for rapidly evolving curriculum: Facilitating student and content engagement via social media||Agarwal N.
|19th Americas Conference on Information Systems, AMCIS 2013 - Hyperconnected World: Anything, Anywhere, Anytime||English||2013||Curriculum in the information systems discipline has been rapidly evolving. This is not only challenging for the instructors to cope with the velocity of change in the curriculum, but also for the students. This paper illustrates a model that leverages the integrated use of social media technologies to facilitate collective learning in a university teaching/learning environment. However, the model could be adapted to other organizational environments. The model demonstrates how various challenges encountered in collective learning can be addressed with the help of social media technologies. A case study is presented to demonstrate the model's applicability, feasibility, utility, and success in a senior-level social computing course at the University of Arkansas at Little Rock. An evolving, non-linear, and self-sustaining wiki portal is developed to encourage engagement between the content, students, and instructor. We further outline the student-centric, content-centric, and learning-centric advantages of the proposed model for the next generation learning environment.||0||0|
|Effectiveness of shared leadership in Wikipedia||Haiping Zhu
|Human Factors||English||2013||Objective: The objective of the paper is to understand leadership in an online community, specifically, Wikipedia. Background: Wikipedia successfully aggregates millions of volunteers' efforts to create the largest encyclopedia in human history. Without formal employment contracts and monetary incentives, one significant question for Wikipedia is how it organizes individual members with differing goals, experience, and commitment to achieve a collective outcome. Rather than focusing on the role of the small set of people occupying a core leadership position, we propose a shared leadership model to explain the leadership in Wikipedia. Members mutually influence one another by exercising leadership behaviors, including rewarding, regulating, directing, and socializing one another. Method: We conducted a two-phase study to investigate how distinct types of leadership behaviors (transactional, aversive, directive, and person-focused), the legitimacy of the people who deliver the leadership, and the experience of the people who receive the leadership influence the effectiveness of shared leadership in Wikipedia. Results: Our results highlight the importance of shared leadership in Wikipedia and identify trade-offs in the effectiveness of different types of leadership behaviors. Aversive and directive leadership increased contribution to the focal task, whereas transactional and person-focused leadership increased general motivation. We also found important differences in how newcomers and experienced members responded to leadership behaviors from peers. Application: These findings extend shared leadership theories, contribute new insight into the important underlying mechanisms in Wikipedia, and have implications for practitioners who wish to design more effective and successful online communities. Copyright||0||0|
|HCI aspects of social media in collaboration of software developers||Savkovic M.
|International Journal of Engineering Education||English||2013||While collaborating using social networks, software developers are stimulated not only to consume content but to create it as well. Software developers are often geographically dispersed and therefore work in different time zones. Besides collaborating using standard means of communication they are often engaged in a very interactive process involving not only their immediate colleagues but also other members of social networks as well. HCI aspects of social media in collaborating environments are still to be explored. Latest mobile devices (smart phones and tablets) with high-resolution displays and impressive specifications offer possibilities for HCI change when it comes to social media and Web 2.0 applications. Software developers began using forums then Wikis and now are relying more and more on micro-blogging and social networks. They are stimulated to consume as well as create new content and their status changes when they solve problems and help others.||0||0|
|Impact of wikipedia on market information environment: Evidence on management disclosure and investor reaction||Xu S.X.
|MIS Quarterly: Management Information Systems||English||2013||In this paper, we seek to determine whether a typical social media platform, Wikipedia, improves the information environment for investors in the financial market. Our theoretical lens leads us to expect that information aggregation about public companies on Wikipedia may influence how management's voluntary information disclosure reacts to market uncertainty with respect to investors' information about these companies. Our empirical analysis is based on a unique data set collected from financial records, management disclosure records, news article coverage, and a Wikipedia modification history of public companies. On the supply side of information, we find that information aggregation on Wikipedia can moderate the timing of managers' voluntary disclosure of companies' earnings disappointments, or bad news. On the demand side of information, we find that Wikipedia's information aggregation moderates investors' negative reaction to bad news. Taken together, these findings support the view that Wikipedia improves the information environment in the financial market and underscore the value of information aggregation through the use of information technology.||0||0|
|Network analysis of user generated content quality in Wikipedia||Myshkin Ingawale
|Online Information Review||English||2013||Purpose - Social media platforms allow near-unfettered creation and exchange of user generated content (UGC). Drawing from network science, the purpose of this paper is to examine whether high and low quality UGC differ in their connectivity structures in Wikipedia (which consists of interconnected user generated articles). Design/methodology/approach - Using Featured Articles as a proxy for high quality, a network analysis was undertaken of the revision history of six different language Wikipedias, to offer a network-centric explanation for the emergence of quality in UGC. Findings - The network structure of interactions between articles and contributors plays an important role in the emergence of quality. Specifically the analysis reveals that high-quality articles cluster in hubs that span structural holes. Research limitations/implications - The analysis does not capture the strength of interactions between articles and contributors. The implication of this limitation is that quality is viewed as a binary variable. Extensions to this research will relate strength of interactions to different levels of quality in UGC. Practical implications - The findings help harness the "wisdom of the crowds" effectively. Organisations should nurture users and articles at the structural hubs from an early stage. This can be done through appropriate design of collaborative knowledge systems and development of organisational policies to empower hubs. Originality/value - The network centric perspective on quality in UGC and the use of a dynamic modelling tool are novel. The paper is of value to researchers in the area of social computing and to practitioners implementing and maintaining such platforms in organisations. Copyright||0||0|
|Research collaboration tools for the U.S. Department of Defense||Schwalb S.I.||Information Services and Use||English||2013||America's adversaries have shown their ability to quickly incorporate new technologies that threaten the U.S. and its interests. The Defense Technical Information Center (DTIC) serves the Department of Defense (DoD) research and engineering community as the central resource for DoD-funded scientific, technical, engineering, and business information and exchange. Furthermore, DTIC fulfills a key role by producing secure collaborative tools that facilitate a rapid response to current and emerging threats. The new Research & Engineering (R&E) Gateway (created by DTIC), which includes DoDTechipedia, DoDTechSpace, Search and Analytics, and the Information Analysis Centers and Defense Innovation Marketplace, are aimed at enhancing DoD's ability to collaborate across the defense enterprise, identify solutions for technology challenges, and seek ways to ensure that taxpayer dollars are spent in an efficient manner. This article will examine the approach taken to develop the collaborative tools, intended goals, challenges to adoption of the sites, and some lessons learned. It will also review how DTIC has provided its registered customers with robust social media tools, albeit limited to the defense community.||0||0|
|Searching for interestingness in wikipedia and yahoo! answers||Mejova Y.
|WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web||English||2013||In many cases, when browsing the Web, users are searching for specific information. Sometimes, though, users are also looking for something interesting, surprising, or entertain- ing. Serendipitous search puts interestingness on par with relevance. We investigate how interesting are the results one can obtain via serendipitous search, and what makes them so, by comparing entity networks extracted from two promi- nent social media sites, Wikipedia and Yahoo Answers.||0||0|
|Social media and organizing - An empirical analysis of the role of wiki affordances in organizing practices||Mansour O.
|International Conference on Information Systems (ICIS 2013): Reshaping Society Through Information Systems Design||English||2013||The evolution of social media has introduced novel possibilities for work and interaction in organizations. The wiki technology is one important kind of social media technologies that is increasingly used to facilitate the creation and sharing of organizational knowledge within communities. Given the increasing use of social media in organizations and the lack of knowledge on their consequences for organizing, we use an affordance lens to explore the enactment of organizational wiki. Using qualitative data obtained through interviews, field visits, and documents from two multinational organizations -CCC and IBM- we first identified eight affordances that describe various wiki possibilities and practices. We then identified four properties of these affordances including multiplicity, referential, situatedness, and communal. These properties represent the main contribution of the paper in that they extend the notion of affordance by theorizing new concepts that describe relational dynamics, situated and contextual conditions, and social factors involved in enacting, perceiving, and exploiting affordances.||0||0|
|Use and acceptance of Wiki systems for students of veterinary medicine.||Kolski D.
|GMS Zeitschrift für medizinische Ausbildung||English||2013||Objective: Wiki systems are gaining importance concerning the use in education, especially among young users. The aim of our study was to examine, how students of veterinary medicine commonly use wiki systems, whether they consider a veterinary wiki system useful and if they would participate in writing content. Methodology: For data collection a questionnaire was provided to students (n=210) of the faculty of Veterinary Medicine at the Freie Universität Berlin, Germany. It contained questions regarding the use of Wikipedia in general and concerning educational issues. Results: Most respondents, especially students in the first years, had comprehensive experience in the use of Wikipedia and veterinary wiki systems. In contrast, the experience in writing or editing of information was low (8.6% Wikipedia, 15.3% veterinary wiki systems). Male students had significantly more writing experience than females (p=0,008). In addition, students of the higher years were more experienced in writing and editing than students of the first year (7.4% in the 4(th) year). The familiarity with wiki systems offered by universities was low. The majority of students (96.2%) are willing to use veterinary wiki systems as an information tool in the future. Nevertheless, only a low percentage is willing to write or edit content. Many students, however, expect a better learning success when writing own texts. In general, students consider the quality of information in a wiki system as correct. Conclusion: In conclusion, wiki systems are considered a useful tool to gain information. This will lead to a successful implementation of wiki systems in veterinary education. A main challenge will be to develop concepts to activate students to participate not only in reading but in the writing and editing process.||0||0|
|Wikipedia's Role in Reputation Management: An Analysis of the Best and Worst Companies in the USA||Marcia W. DiStaso
|May 2012||Being considered one of the best companies in the USA is a great honor, but this reputation does not exempt businesses from negativity in the collaboratively edited online encyclopedia Wikipedia. Content analysis of corporate Wikipedia articles for companies with the best and worst reputations in the USA revealed that negative content outweighed positive content irrespective of reputation. It was found that both the best and the worst companies had more negative than positive content in Wikipedia. This is an important issue because Wikipedia is not only one of the most popular websites in the world, but is also often the first place people look when seeking corporate information. Although there was more content on corporate social responsibility in the entries for the ten companies with the best reputations, this was still overshadowed by content referring to legal issues or scandals. Ultimately, public relations professionals need to regularly monitor and request updates to their corporate Wikipedia articles regardless of what kind of company they work for.||4||0|
|Adding semantics to microblog posts||Edgar Meij
Maarten de Rijke
|WSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining||English||2012||Microblogs have become an important source of information for the purpose of marketing, intelligence, and reputation management. Streams of microblogs are of great value because of their direct and real-time nature. Determining what an individual microblog post is about, however, can be non-trivial because of creative language usage, the highly contextualized and informal nature of microblog posts, and the limited length of this form of communication. We propose a solution to the problem of determining what a microblog post is about through semantic linking: we add semantics to posts by automatically identifying concepts that are semantically related to it and generating links to the corresponding Wikipedia articles. The identified concepts can subsequently be used for, e.g., social media mining, thereby reducing the need for manual inspection and selection. Using a purpose-built test collection of tweets, we show that recently proposed approaches for semantic linking do not perform well, mainly due to the idiosyncratic nature of microblog posts. We propose a novel method based on machine learning with a set of innovative features and show that it is able to achieve significant improvements over all other methods, especially in terms of precision. Copyright 2012 ACM.||0||0|
|Annotation of adversarial and collegial social actions in discourse||Bracewell D.B.
|LAW 2012 - 6th Linguistic Annotation Workshop, In Conjunction with ACL 2012 - Proceedings||English||2012||We posit that determining the social goals and intentions of dialogue participants is crucial for understanding discourse taking place on social media. In particular, we examine the social goals of being collegial and being adversarial. Through our early experimentation, we found that speech and dialogue acts are not able to capture the complexities and nuances of the social intentions of discourse participants. Therefore, we introduce a set of 9 social acts specifically designed to capture intentions related to being collegial and being adversarial. Social acts are pragmatic speech acts that signal a dialogue participant's social intentions. We annotate social acts in discourses communicated in English and Chinese taken from Wikipedia talk pages, public forums, and chat transcripts. Our results show that social acts can be reliably understood by annotators with a good level of inter-rater agreement.||0||0|
|Classifying trust/distrust relationships in online social networks||Bachi G.
|Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012||English||2012||Online social networks are increasingly being used as places where communities gather to exchange information, form opinions, collaborate in response to events. An aspect of this information exchange is how to determine if a source of social information can be trusted or not. Data mining literature addresses this problem. However, if usually employs social balance theories, by looking at small structures in complex networks known as triangles. This has proven effective in some cases, but it under performs in the lack of context information about the relation and in more complex interactive structures. In this paper we address the problem of creating a framework for the trust inference, able to infer the trust/distrust relationships in those relational environments that cannot be described by using the classical social balance theory. We do so by decomposing a trust network in its ego network components and mining on this ego network set the trust relationships, extending a well known graph mining algorithm. We test our framework on three public datasets describing trust relationships in the real world (from the social media Epinions, Slash dot and Wikipedia) and confronting our results with the trust inference state of the art, showing better performances where the social balance theory fails.||0||0|
|Codification and collaboration: Information quality in social media||Kane G.C.
|International Conference on Information Systems, ICIS 2012||English||2012||This paper argues that social media combines the codification and collaboration features of earlier generations of knowledge management systems. This combination potentially changes the way knowledge is created, potentially requiring new theories and methods for understanding these processes. We forward the specialized social network method of two-mode networks as one such approach. We examine the information quality of 16,244 articles built through 2,677,397 revisions by 147,362 distinct contributors to Wikipedia's Medicine Wikiproject. We find that the structure of the contributor-artifact network is associated with information quality in these networks. Our findings have implications for managers seeking to cultivate effective knowledge creation environments using social media and to identify valuable knowledge created external to the firm.||0||0|
|Computational reputation model based on selecting consensus choices: An empirical study on semantic wiki platform||Jason J. Jung||Expert Syst. Appl.||English||2012||0||0|
|Dynamic vocabularies for web-based concept detection by trend discovery||Borth D.
|MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia||English||2012||We present a novel approach towards automatic vocabulary selection for video concept detection. Our key idea is to expand concept vocabularies with trending topics that we mine automatically on other media like Wikipedia or Twitter. We evaluate several strategies for extending concept detection to auto-detect these topics in new videos, either by linking them to a static concept vocabulary, by a visual learning of trends on the fly, or by an expansion of the vocabulary. Our study on 6,800 YouTube clips and the top 23 target trends (covering a timespan of 6 months) demonstrates that a direct visual classification of trends (by a "live" learning on trend videos) outperforms an inference from static vocabularies. However, further improvements can be achieved by a combination of both approaches.||0||0|
|Exploiting external collections for query expansion||Weerkamp W.
Maarten de Rijke
|ACM Transactions on the Web||English||2012||A persisting challenge in the field of information retrieval is the vocabulary mismatch between a user's information need and the relevant documents. One way of addressing this issue is to apply query modeling: to add terms to the original query and reweigh the terms. In social media, where documents usually contain creative and noisy language (e.g., spelling and grammatical errors), query modeling proves difficult. To address this, attempts to use external sources for query modeling have been made and seem to be successful. In this article we propose a general generative query expansion model that uses external document collections for term generation: the External Expansion Model (EEM). The main rationale behind our model is our hypothesis that each query requires its own mixture of external collections for expansion and that an expansion model should account for this. For some queries we expect, for example, a news collection to be most beneficial, while for other queries we could benefit more by selecting terms from a general encyclopedia. EEM allows for query-dependent weighing of the external collections. We put our model to the test on the task of blog post retrieval and we use four external collections in our experiments: (i) a news collection, (ii) a Web collection, (iii) Wikipedia, and (iv) a blog post collection. Experiments show that EEM outperforms query expansion on the individual collections, as well as the Mixture of Relevance Models that was previously proposed by Diaz and Metzler . Extensive analysis of the results shows that our naive approach to estimating query-dependent collection importance works reasonably well and that, when we use "oracle" settings, we see the full potential of our model. We also find that the query-dependent collection importance has more impact on retrieval performance than the independent collection importance (i.e., a collection prior).||0||0|
|Extracting knowledge from U.S. department of defense freedom of information act requests with social media||Whitmore A.||Government Information Quarterly||English||2012||The Freedom of Information Act (FOIA) has facilitated the release of large amounts of government information that has been of great value to researchers, journalists, and other interested parties. The fraction of this information released in electronic format has been growing as has its volume. While offering great potential for research, large amounts of data disgorged from government information systems can pose challenges to human interpretation and knowledge extraction. Using the Office of the Secretary of Defense/Joint Staff Freedom of Information Act (FOIA) Logs for 2007-2009, this research identifies (1) a process for finding relationships between the FOIA requests through keywords extracted from Wikipedia and (2) a technique for visualizing these relationships in order to provide context and improve understanding when working with born-digital government data.||0||0|
|How long do Wikipedia editors keep active?||Dell Zhang
|WikiSym 2012||English||2012||In this paper, we use the technique of survival analysis to investigate how long Wikipedia editors remain active in editing. Our results show that although the survival function of occasional editors roughly follows a lognormal distribution, the survival function of customary editors can be better described by a Weibull distribution (with the median lifetime of about 53 days). Furthermore, for customary editors, there are two critical phases (0-2 weeks and 8-20 weeks) when the hazard rate of becoming inactive increases. Finally, customary editors who are more active in editing are likely to keep active in editing for longer time.||0||0|
|InfoExtractor-A Tool for Social Media Data Mining||File C.
|Journal of Information Technology and Politics||English||2012||In this workbench note, we present InfoExtractor, a Web-based tool for collecting data and metadata from focused social media content. InfoExtractor then provides these data in various structured and unstructured formats for manipulation and analysis. The tool allows social science researchers to collect data for quantitative analysis, and is designed to deliver data from popular and influential social media sites in a useful and easy-to-access format. InfoExtractor was designed to replace traditional means of content aggregation, such as page scraping and brute-force copying.||0||0|
|Leveraging social media sources to generate personalized music playlists||Musto C.
De Gemmis M.
|Lecture Notes in Business Information Processing||English||2012||This paper presents MyMusic, a system that exploits social media sources for generating personalized music playlists. This work is based on the idea that information extracted from social networks, such as Facebook and Last.fm, might be effectively exploited for personalization tasks. Indeed, information related to music preferences of users can be easily gathered from social platforms and used to define a model of user interests. The use of social media is a very cheap and effective way to overcome the classical cold start problem of recommender systems. In this work we enriched social media-based playlists with new artists related to those the user already likes. Specifically, we compare two different enrichment techniques: the first leverages the knowledge stored on DBpedia, the structured version of Wikipedia, while the second is based on the content-based similarity between descriptions of artists. The final playlist is ranked and finally presented to the user that can listen to the songs and express her feedbacks. A prototype version of MyMusic was made available online in order to carry out a preliminary user study to evaluate the best enrichment strategy. The preliminary results encouraged keeping on this research.||0||0|
|Mining the web for points of interest||Rae A.
|SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval||English||2012||A point of interest (POI) is a focused geographic entity such as a landmark, a school, an historical building, or a business. Points of interest are the basis for most of the data supporting location-based applications. In this paper we propose to curate POIs from online sources by bootstrapping training data from Web snippets, seeded by POIs gathered from social media. This large corpus is used to train a sequential tagger to recognize mentions of POIs in text. Using Wikipedia data as the training data, we can identify POIs in free text with an accuracy that is 116% better than the state of the art POI identifier in terms of precision, and 50% better in terms of recall. We show that using Foursquare and Gowalla checkins as seeds to bootstrap training data from Web snippets, we can improve precision between 16% and 52%, and recall between 48% and 187% over the state-of-the-art. The name of a POI is not sufficient, as the POI must also be associated with a set of geographic coordinates. Our method increases the number of POIs that can be localized nearly three-fold, from 134 to 395 in a sample of 400, with a median localization accuracy of less than one kilometer.||0||0|
|Negotiating Cultural Values in Social Media: A Case Study from Wikipedia||Jonathan T. Morgan
Robert M. Mason
|Polycystic ovary syndrome: Double click and right check. What do patients learn from the Internet about PCOS?||Mousiolis A.
|European Journal of Obstetrics Gynecology and Reproductive Biology||English||2012||Objective: To identify the websites most visited by patients regarding polycystic ovary syndrome (PCOS), and to evaluate the quality of information provided by these websites. Study design: We sought data regarding the popularity of sites providing information about PCOS regardless of the way the visitors reached the site. We then scrutinized the top sites for predefined quality check points to evaluate the quality of information provided, including Health on Net Foundation (HON) accreditation. Finally, we searched for the expansion of these sites in social networks (Facebook and Twitter). Results: Of the top 15 sites, 8 were HONcode certified. The mean performance of content presence for all sites was 7.33 (min = 4, max = 10, SD = 1.633). There was a moderate correlation of higher performance score with HON accreditation (R: 0.535, p < 0.05). Several sites have expanded in social media. None of the high-score sites has a page dedicated to PCOS. Conclusions: There exists a lack of HON accreditation in many sites and a wide variability in the quality of the information provided. In some cases, key elements of content, necessary for complete appreciation of PCOS, are missing. Official and high authority healthcare organisms should introduce themselves in the social media world. © 2012 Elsevier Ireland Ltd. All rights reserved.||0||0|
|Social media at work: Structures of collaboration||Mansour O.||English||2012||The present document provides a general overview of my research which aims at understanding the emergence of new organizational arrangements in the context of using open Wikis for knowledge collaboration and sharing. It also provides an overview of my research, motivation and discussion of the research problem, aim and research questions, and methods. Further, an overview of the current situation of my research is presented. Finally, it provides a discussion of the benefits from participating at the CSCW2012 DC.||0||0|
|Special section: Information and competitive strategy in a networked economy||Kauffman R.
|Journal of Management Information Systems||English||2012||The special section of 2012 Journal of Management Information Systems deals with the incentives for distributed content generation; counterintuitive network effects in the security software market, which features an intrinsic negative externality; and the possibility for collaboration between different platforms in a two-sided market. Xiaoquan (Michael) Zhang and Chong (Alex) Wang, in 'Network Positions and Contributions to Online Public Goods: The Case of Chinese Wikipedia,' examine the impact the network structure may have to encourage social content contribution. 'Content Contribution for Revenue Sharing and Reputation in Social Media: A Dynamic Structural Model,' by Qian Tang, Bin Gu, and Andrew B. Whinston, estimates a dynamic structural model for the payoff function. Debabrata Dey, Atanu Lahiri, and Guoying Zhang provide an interesting twist on this standard story in their paper 'Hacker Behavior, Network Effects, and the Security Software Market, where a higher penetration, and thus larger, network, tends to decrease a user's ex ante benefit.||0||0|
|Tagging wikipedia: Collaboratively creating a category system||Thornton K.
|GROUP'12 - Proceedings of the ACM 2012 International Conference on Support Group Work||English||2012||Category systems have traditionally been created by small committees of people who had authority over the system they were designing. With the rise of large-scale social media systems, category schemes are being created by groups with differing perspectives, values, and expectations for how categories will be used. Prior studies of social tagging and folksonomy focused on the application and evolution of the collective category scheme, but struggled to uncover some of the collective rationale undergirding the decision-making processes in those schemes. In this paper, we qualitatively analyze the early discussions among editors of Wikipedia about the design and creation of its category system. We highlight three themes that dominated the discussion: hierarchy, scope and navigation, and relate these themes to their more formal roots in the information science literature. We distill out four styles of collaboration with regard to category systems that apply broadly to social tagging and other folksonomies. We conclude the paper with implications for collaborative tools and category systems as applied to large-scale collaborative systems. Copyright © 2012 by the Association for Computing Machinery, Inc. (ACM).||0||0|
|The people's encyclopedia under the gaze of the sages: a systematic review of scholarly research on Wikipedia||Chitu Okoli
Finn Årup Nielsen
|English||2012||Wikipedia has become one of the ten most visited sites on the Web, and the world’s leading source of Web reference information. Its rapid success has inspired hundreds of scholars from various disciplines to study its content, communication and community dynamics from various perspectives. This article presents a systematic review of scholarly research on Wikipedia. We describe our detailed, rigorous methodology for identifying over 450 scholarly studies of Wikipedia. We present the WikiLit website (http wikilit dot referata dot com), where most of the papers reviewed here are described in detail. In the major section of this article, we then categorize and summarize the studies. An appendix features an extensive list of resources useful for Wikipedia researchers.||15||1|
|The role of social media in dental education||McAndrew M.
|Journal of Dental Education||English||2012||Social media, also known as Web 2.0, includes a set of web-based technologies in which users actively share and create content through open collaboration. The current students in dental school are Millennial learners who are comfortable using social media, such as Facebook and Twitter, for both socialization and learning. This article defines and explores the range of Web 2.0 technologies available for use in dental education, addresses their underlying pedagogy, and discusses potential problems and barriers to their implementation.||0||0|
|Towards a two-way participatory process||Silva A.
|Lecture Notes in Computer Science||English||2012||In less than a decade, several millions of articles have been written in Wikipedia and several million roads have been traced out on Open Street Map (OSM). In the meantime, the authorities have still not been able to understand and use the power of crowd sourcing. In this paper, we present the design principles of a new Public Participation Geographic Information System (PPGIS). We aim to eliminate the typical limitations of previous unsuccessful platforms, that have mostly failed due to conceptual design issues. We argue that two fundamental changes must exist in new PPGIS platforms: there is a shift from hierarchies to increased equal rights platforms; improved communication, more transparency, and bi-directionality. The role of the authority in former platforms was really an authoritarian role: having all the power and only partly knowing and controlling the entire platform. This is completely different from the crowd source platforms we know to be successful. So, one fundamental change is to diminish hierarchies and prevent people from hiding themselves behind the institution. The second major conceptual design issue is related to transparency and communication. While former platforms use mechanisms to prevent citizens from seeing each other's participation, we aim to enable people to see the participation of others. That's a fundamental feature in social networks. We will also design it to be a two-way communication platform. If citizens are requested to participate, the administration must use the same platform to communicate with them. Not only to provide feedback, but also to publish useful information for the citizen. In this paper we describe how social media meets our design principles. We decide to implement our case study, the "Fix my Street" application, on top of a social engine, to take advantage of all social media features. Two necessary extensions to the social engine are briefly described, to capture the core logic of our application.||0||0|
|TwikiMe! User profiles that make sense||Siehndel P.
|CEUR Workshop Proceedings||English||2012||The use of social media has been rapidly increasing in the last years. Social media, such as Twitter, has become an important source of information for a variety of people. The public availability of data describing some of these social networks has led to a great deal of research in this area. Link prediction, user classification and community detection are some of the main research areas related to social networks. In this paper, we present a user modeling framework that uses Wikipedia to model user interests inside a social network. Our model of user interests reflects the areas a user is interested in, as well as the level of expertise a user has in a certain field.||0||0|
|Contrasts in student engagement, meaning-making, dislikes, and challenges in a discovery-based program of game design learning||Rebecca Reynolds
|Educational Technology Research and Development||English||2011||This implementation study explores middle school, high school and community college student experiences in Globaloria, an educational pilot program of game design offered in schools within the U. S. state of West Virginia, supported by a non-profit organization based in New York City called the World Wide Workshop Foundation. This study reports on student engagement, meaning making and critique of the program, in their own words. The study's data source was a mid-program student feedback survey implemented in Pilot Year 2 (2008/2009) of the 5 year design-based research initiative, in which the researchers posed a set of open-ended questions in an online survey questionnaire answered by 199 students. Responses were analyzed using inductive textual analysis. While the initial purpose for data collection was to elicit actionable program improvements as part of a design-based research process, several themes emergent in the data tie into recent debates in the education literature around discovery-based learning. In this paper, we draw linkages from the categories of findings that emerged in student feedback to this literature, and identify new scholarly research questions that can be addressed in the ongoing pilot, the investigation of which might contribute new empirical insights related to recent critiques of discovery based learning, self-determination theory, and the productive failure phenomenon.||0||0|
|Coping with the dynamics of open, social media on mobile devices with mobile facets||Kleinen A.
|Proceedings of the 4th International Workshop on Semantic Ambient Media Experience, SAME 2011, in Conjunction with the 5th International Convergence on Communities and Technologies||English||2011||When traveling to a foreign city or wanting to know what is happening in one's home area, users today often search and explore different social media platforms. In order to provide different social media sources in an integrated manner on a mobile device, we have developed Mobile Facets. Mobile Facets allows for the faceted, interactive search and explo- ration of social media on a touchscreen mobile phone. The social media is queried live from different data sources and professional content sources like DBpedia, a Semantic Web version of Wikipedia, the event directories Eventful and Up- coming, geo-located Flickr photos, and GeoNames. Mobile Facets provides an integrated retrieval and interactive ex- ploration of resources from these social media sources such as places, persons, organizations, and events. One does not know in advance how many facets the application will receive from such sources in a specific contextual situation and how many data items for the facets will be provided. Thus, the user interface of Mobile Facets is to be designed to cope with this dynamics of social media. Copyright||0||0|
|Defining ontology by using users collaboration on social media||Kamran S.
|English||2011||This novel method is proposed for building a reliable ontology around specific concepts, by using the immense potential of active volunteering collaboration of detected knowledgeable users on social media. Copyright 2011 ACM.||0||0|
|Detecting the long-tail of points of interest in tagged photo collections||Zigkolis C.
|Proceedings - International Workshop on Content-Based Multimedia Indexing||English||2011||The paper tackles the problem of matching the photos of a tagged photo collection to a list of "long-tail" Points Of Interest (PoIs), that is PoIs that are not very popular and thus not well represented in the photo collection. Despite the significance of improving "long-tail" PoI photo retrieval for travel applications, most landmark detection methods to date have been tested on very popular landmarks. In this paper, we conduct a thorough empirical analysis comparing four baseline matching methods that rely on photo metadata, three variants of an approach that uses cluster analysis in order to discover PoI-related photo clusters, and a real-world retrieval mechanism (Flickr search) on a set of less popular PoIs. A user-based evaluation of the aforementioned methods is conducted on a Flickr photo collection of over 100, 000 photos from 10 well-known touristic destinations in Greece. A set of 104 "long-tail" PoIs is collected for these destinations from Wikipedia, Wikimapia and OpenStreetMap. The results demonstrate that two of the baseline methods outperform Flickr search in terms of precision and F-measure, whereas two of the cluster-based methods outperform it in terms of recall and PoI coverage. We consider the results of this study valuable for enhancing the indexing of pictorial content in social media sites.||0||0|
|Extracting and modeling user interests based on social media||Wasim M.
|Proceedings of the 14th IEEE International Multitopic Conference 2011, INMIC 2011||English||2011||With the increasing demand for personalized applications, user interests' mining is gaining more and more importance. Various sources of information have been used for extracting and modeling parameters that portray users' interests. Social media has become one of the most popular and significant platform for information sharing and dissemination. These social platforms provide users not only a medium to share the content of their interest but also provide an insight of their day to day activities. Mining this content to define user interests can be used for the customization and personalization of a variety of commercial and non-commercial applications like product marketing and recommendation. In this paper, we propose a user interest's model using a popular social community called twitter. Proposed user model represents interests in the form of ontological concepts interlinked with predefined source ontology by using concepts from Wikipedia and Wordnet.||0||0|
|Extracting information about security vulnerabilities from Web text||Mulwad V.
|Proceedings - 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2011||English||2011||The Web is an important source of information about computer security threats, vulnerabilities and cyberattacks. We present initial work on developing a framework to detect and extract information about vulnerabilities and attacks from Web text. Our prototype system uses Wikitology, a general purpose knowledge base derived from Wikipedia, to extract concepts that describe specific vulnerabilities and attacks, map them to related concepts from DBpedia and generate machine understandable assertions. Such a framework will be useful in adding structure to already existing vulnerability descriptions as well as detecting new ones. We evaluate our approach against vulnerability descriptions from the National Vulnerability Database. Our results suggest that it can be useful in monitoring streams of text from social media or chat rooms to identify potential new attacks and vulnerabilities or to collect data on the spread and volume of existing ones.||0||0|
|Finding patterns in behavioral observations by automatically labeling forms of wikiwork in Barnstars||David W. McDonald
|WikiSym 2011 Conference Proceedings - 7th Annual International Symposium on Wikis and Open Collaboration||English||2011||Our everyday observations about the behaviors of others around us shape how we decide to act or interact. In social media the ability to observe and interpret others' behavior is limited. This work describes one approach to leverage everyday behavioral observations to develop tools that could improve understanding and sense making capabilities of contributors, managers and researchers of social media systems. One example of behavioral observation is Wikipedia Barnstars. Barnstars are a type of award recognizing the activities of Wikipedia editors. We mine the entire English Wikipedia to extract barnstar observations. We develop a multi-label classifier based on a random forest technique to recognize and label distinct forms of observed and acknowledged activity. We evaluate the classifier through several means including use of separate training and testing datasets and the by application of the classifier to previously unlabeled data. We use the classifier to identify Wikipedia editors who have been observed with some predominant types of behavior and explore whether those patterns of behavior are evident and how observers seem to be making the observations. We discuss how these types of activity observations can be used to develop tools and potentially improve understanding and analysis in wikis and other online communities.||0||1|
|Introducing new features to wikipedia: Case studies for web science||Mathias Schindler
|IEEE Intelligent Systems||English||2011||Introducing new features to Wikipedia is a complex sociotechnical process. The authors compare the Web science process to the previous introduction of new features and suggest how to use it as a model for the future development of Wikipedia.||0||0|
|Linking online news and social media||Tsagkias M.
Maarten de Rijke
|Proceedings of the 4th ACM International Conference on Web Search and Data Mining, WSDM 2011||English||2011||Much of what is discussed in social media is inspired by events in the news and, vice versa, social media provide us with a handle on the impact of news events. We address the following linking task: given a news article, find social media utterances that implicitly reference it. We follow a three-step approach: we derive multiple query models from a given source news article, which are then used to retrieve utterances from a target social media index, resulting in multiple ranked lists that we then merge using data fusion techniques. Query models are created by exploiting the structure of the source article and by using explicitly linked social media utterances that discuss the source article. To combat query drift resulting from the large volume of text, either in the source news article itself or in social media utterances explicitly linked to it, we introduce a graph-based method for selecting discriminative terms. For our experimental evaluation, we use data from Twitter, Digg, Delicious, the New York Times Community, Wikipedia, and the blogosphere to generate query models. We show that different query models, based on different data sources, provide complementary information and manage to retrieve different social media utterances from our target index. As a consequence, data fusion methods manage to significantly boost retrieval performance over individual approaches. Our graph-based term selection method is shown to help improve both effectiveness and efficiency. Copyright 2011 ACM.||0||0|
|Methodologies for using social media collaborative work systems||Solomon B.S.
|2011 1st International Workshop on Requirements Engineering for Social Computing, RESC'11||English||2011||This paper proposes a new categorization of Social Media Collaborative Work (SMCW) systems and discusses methodologies for the use of SMCW systems. Popular Social Media systems such as Facebook, Wikipedia, Skype and Twitter can be seen as an evolution of systems for Computer Supported Cooperative Work. We are witnessing a renaissance in collaborative work that may overcome the many limitations of Computer Supported Cooperative Work. Furthermore large scale Social Media interactions provide an example of human self-motivation to accomplish collaborative work. System users are keen to adopt such technology, but we currently lack methodologies for using Social Media for Collaborative Work. We are conducting empirical studies to identify, determine, evaluate and develop such methodologies. In this paper we propose a categorization of Social Media for Collaborative Work and discuss requirements for Collaborative Work systems.||0||0|
|Negotiating cultural values in social media: A case study from Wikipedia||Morgan J.T.
|Proceedings of the Annual Hawaii International Conference on System Sciences||English||2011||Wikipedia arguably is one of the most visible examples of the use of social media to enlist volunteers to contribute to a social good. Wikipedia was created to provide an accessible, encyclopedic information resource for people of all nations and cultures. Previous research has shown potential for unacknowledged cultural bias in socio-technical systems. However, the extent to which the technological and social structures of the English Wikipedia are shaped by its western origin and orientation has not been examined. We fill this gap by studying how Wikipedia editors created the culturally controversial article Jyllands-Posten Muhammad Cartoon Controversy. We use Carlile's boundaryspanning model to illustrate how Wikipedia is unable to satisfactorily resolve the fundamental tension between its stated mission of global access and empowerment and the inherent (but unacknowledged) cultural bias of the technologies and processes employed by the English language Wikipedia community. This case study illustrates how knowledge management systems, even those intended to encompass multiple value systems through the use of an open social media design, have built-in (value) biases through the specific technologies and processes employed in the design.||0||0|
|Probabilistic quality assessment based on article's revision history||Jangwhan Han
|Lecture Notes in Computer Science||English||2011||The collaborative efforts of users in social media services such as Wikipedia have led to an explosion in user-generated content and how to automatically tag the quality of the content is an eminent concern now. Actually each article is usually undergoing a series of revision phases and the articles of different quality classes exhibit specific revision cycle patterns. We propose to Assess Quality based on Revision History (AQRH) for a specific domain as follows. First, we borrow Hidden Markov Model (HMM) to turn each article's revision history into a revision state sequence. Then, for each quality class its revision cycle patterns are extracted and are clustered into quality corpora. Finally, article's quality is thereby gauged by comparing the article's state sequence with the patterns of pre-classified documents in probabilistic sense. We conduct experiments on a set of Wikipedia articles and the results demonstrate that our method can accurately and objectively capture web article's quality.||0||0|
|Quantifying the trustworthiness of social media content||Moturu S.T.
|Distributed and Parallel Databases||English||2011||The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-generated content. A significant portion of this information is useful and has proven to be a great source of knowledge. However, since much of this information has been contributed by strangers with little or no apparent reputation to speak of, there is no easy way to detect whether the content is trustworthy. Search engines are the gateways to knowledge but search relevance cannot guarantee that the content in the search results is trustworthy. A casual observer might not be able to differentiate between trustworthy and untrustworthy content. This work is focused on the problem of quantifying the value of such shared content with respect to its trustworthiness. In particular, the focus is on shared health content as the negative impact of acting on untrustworthy content is high in this domain. Health content from two social media applications, Wikipedia and Daily Strength, is used for this study. Sociological notions of trust are used to motivate the search for a solution. A two-step unsupervised, feature-driven approach is proposed for this purpose: a feature identification step in which relevant information categories are specified and suitable features are identified, and a quantification step for which various unsupervised scoring models are proposed. Results indicate that this approach is effective and can be adapted to disparate social media applications with ease.||0||0|
|Query and tag translation for Chinese-Korean cross-language social media retrieval||Wang Y.-C.
|Proceedings of the 2011 IEEE International Conference on Information Reuse and Integration, IRI 2011||English||2011||Collaborative tagging has been widely adopted by social media websites to allow users to describe content with metadata tags. Tagging can greatly improve search results. We propose a cross-language social media retrieval system (CLSMR) to help users retrieve foreign-language tagged media content. We construct a Chinese to Korean CLSMR system that translates Chinese queries into Korean, retrieves content, and then translates the Korean tags in the search results back into Chinese. Our system translates NEs using a dictionary of bilingual NE pairs from Wikipedia and a pattern-based software translator which learns regular NE patterns from the web. The top-10 precision of YouTube retrieved results for our system was 0.39875. The K-C NE tag translation accuracy for the top-10 YouTube results was 77.6%, which shows that our translation method is fairly effective for named entities. A questionnaire given to users showed that automatically translated tags were considered as informative as a human-written summary. With our proposed CLSMR system, Chinese users can retrieve online Korean media files and get a basic understanding of their content with no knowledge of the Korean language.||0||0|
|Sharing regulatory intelligence: Are newsletters here to stay or is social media the future?||Hynes C.
|Regulatory Rapporteur||English||2011||Regulatory newsletters - electronic or printed - are a key deliverable for the regulatory intelligence (RI) function. In 2009, the Regulatory Intelligence Networking Group (RING)* began a project to review the regulatory newsletters produced by its member companies in order to determine if newsletters are the optimal medium for sharing regulatory intelligence. The RING is also evaluating 'social media' (eg, LinkedIn, Wikipedia, Twitter), as these may offer advantages over newsletters. In utilising social media to enhance the gathering and delivery of regulatory intelligence, there is an excellent opportunity for RI specialists to demonstrate the value of social media to other regulatory affairs professionals. The first part of this article discusses the use of newsletters by RING member companies; the second part explores the current and possible uses of social media to enhance the RI function. Finally, the article considers whether social media will have a future role in the delivery of regulatory intelligence and how RI specialists can demonstrate the value of social media to their colleagues and industry peers.||0||0|
|Simultaneous joint and conditional modeling of documents tagged from two perspectives||Das P.
|International Conference on Information and Knowledge Management, Proceedings||English||2011||This paper explores correspondence and mixture topic modeling of documents tagged from two different perspectives. There has been ongoing work in topic modeling of documents with tags (tag-topic models) where words and tags typically reflect a single perspective, namely document content. However, words in documents can also be tagged from different perspectives, for example, syntactic perspective as in part-of-speech tagging or an opinion perspective as in sentiment tagging. The models proposed in this paper are novel in: (i) the consideration of two different tag perspectives - a document level tag perspective that is relevant to the document as a whole and a word level tag perspective pertaining to each word in the document; (ii) the attribution of latent topics with word level tags and labeling latent topics with images in case of multimedia documents; and (iii) discovering the possible correspondence of the words to document level tags. The proposed correspondence tag-topic model shows better predictive power i.e. higher likelihood on heldout test data than all existing tag topic models and even a supervised topic model. To evaluate the models in practical scenarios, quantitative measures between the outputs of the proposed models and the ground truth domain knowledge have been explored. Manually assigned (gold standard) document category labels in Wikipedia pages are used to validate model-generated tag suggestions using a measure of pairwise concept similarity within an ontological hierarchy like WordNet. Using a news corpus, automatic relationship discovery between person names was performed and compared to a robust baseline.||0||0|
|Social capital increases efficiency of collaboration among Wikipedia editors||Keiichi Nemoto
|Social media driven image retrieval||Adrian Popescu
|Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR'11||English||2011||People often try to find an image using a short query and images are usually indexed using short annotations. Matching the query vocabulary with the indexing vocabulary is a difficult problem when little text is available. Textual user generated content in Web 2.0 platforms contains a wealth of data that can help solve this problem. Here we describe how to use Wikipedia and Flickr content to improve this match. The initial query is launched in Flickr and we create a query model based on co-occurring terms. We also calculate nearby concepts using Wikipedia and use these to expand the query. The final results are obtained by ranking the results for the expanded query using the similarity between their annotation and the Flickr model. Evaluation of these expansion and ranking techniques, over the Image CLEF 2010 Wikipedia Collection containing 237,434 images and their multilingual textual annotations, shows that a consistent improvement compared to state of the art methods.||0||0|
|Teaching knowledge management by combining wikis and screen capture videos||Makkonen P.
|Campus-Wide Information Systems||English||2011||Purpose: This paper aims to report on the design and creation of a knowledge management course aimed at facilitating student creation and use of social interactive learning tools for enhanced learning. Design/methodology/approach: The era of social media and web 2.0 has enabled a bottom-up collaborative approach and new ways to publish work on the web, promoted by tools such as YouTube video service. In this spirit a knowledge management course was designed aiming to facilitate university students to compose videos on different difficult concepts in the theory part of the course by searching for explanations on the web and by creating a Windows Media Player video focusing on the self-defined problems. The videos created by the students were published on a wiki (Wetpaint) and the students were encouraged to actively share knowledge and learn from one another by familiarising themselves with the videos of the other students. In order to utilise cognitive and social constructivism, as well as problem-based learning, the principles of the Jigsaw method were used to enable different students to create videos on different themes. Findings: Based on the authors' experiences it is suggested that curriculum and syllabus planning should be transformed toward a more student-centred approach. This is the most natural in the context of knowledge management, which emphasizes the meaning of participation and knowledge sharing. The social constructivist learning theory emphasizes the meaning of interaction in successful learning. By publishing videos created by the students themselves, by commenting on videos created by other students and by reading comments expressed by others the approach proved to be beneficial for learning in many ways. Research limitations/implications: The research limitation lies in the differences of quality, format and sizes of these videos produced and the efforts and time requirements for editing and use. Practical implications: The present finding and report implies more of these resources could be generated by students in other courses in other study areas encouraging use of these types of resources, engaging students with the curriculum, and encouraging interaction amongst students promoting deeper understanding, more positive learning experiences and the generation of curriculum teaching materials by students for class work, making learning more student focused. Originality/value: The paper focuses on a unique process that allows the use of social technology by students for the generation of materials for use in learning.||0||0|
|Technology-mediated social participation: The next 25 years of HCI challenges||Shneiderman B.||Lecture Notes in Computer Science||English||2011||The dramatic success of social media such as Facebook, Twitter, YouTube, blogs, and traditional discussion groups empowers individuals to become active in local and global communities. Some enthusiasts believe that with modest redesign, these technologies can be harnessed to support national priorities such as healthcare/wellness, disaster response, community safety, energy sustainability, etc. However, accomplishing these ambitious goals will require long-term research to develop validated scientific theories and reliable, secure, and scalable technology strategies. The enduring questions of how to motivate participation, increase social trust, and promote collaboration remain grand challenges even as the technology rapidly evolves. This talk invites researchers across multiple disciplines to participate in redefining our discipline of Human-Computer Interaction (HCI) along more social lines to answer vital research questions while creating inspirational prototypes, conducting innovative evaluations, and developing robust technologies. By placing greater emphasis on social media, the HCI community could constructively influence these historic changes.||0||0|
|Understanding user behavior in a local social media platform by social network analysis||Tang T.
|Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments, MindTrek 2011||English||2011||Characterizing user behavior by social network analysis in social media has been an active research domain for a long time. However, much previous research has focused on the large-scale global social media such as Facebook, Wikipedia and Twitter. Comparatively, little research has been done for the local social media. In this paper, We study the user behavior by social network analysis in a campus-based social media platform for exchanging goods and services. We also study the correlation between social networks and users' exchanging behaviors. Finally, we discuss the implications of our findings and future work.||0||0|
|WIKI collaboration in organizations: An explorartory study||Mansour O.
|19th European Conference on Information Systems, ECIS 2011||English||2011||The use of social media technologies in organizations has introduced novel ways of collaboration, communication, and knowledge sharing. In this respect, the present study is concerned with examining the use of one type of social media, the wiki technology, by members of several professional communities of practice to collaborate and share knowledge with each other. As such, it seeks to identify and understand the factors that influence their use of the wiki at a large multinational organization. To this end we used an interpretive exploratory case study which included 12 in-depth interviews with senior employees and managers as primary sources of data. Additional data was obtained during two field visits at the organization through observation of the wiki, field notes, and organizational documents. The study concludes with rich insights into the dual impact of the openness of wiki collaboration as well as the manner and value of using the wiki for knowledge collaboration and sharing at the workplace.||0||0|
|WikiTeams: How do they achieve success?||Piotr Turek
|IEEE Potentials||English||2011||Web 2.0 technology and so-called social media are among the most popular (among users and researchers alike) Internet technologies today. Among them, Wiki technology - created to simplify HTML editing and enable open, collaborative editing of pages by ordinary Web users - occupies an important place. Wiki is increasingly adopted by businesses as a useful form of knowledge management and sharing, creating "corporate Wikis." However, the most widely known application of Wiki technology - Wikipedia - is, according to many analysts, more than just an open encyclopedia that uses Wiki.||0||0|
|Wikipedia's "Neutral Point of View": Settling Conflict through Ambiguity||Sorin Adam Matei
|The Information Society||English||2011||0||0|
|Wikipedia's "neutral point of view": Settling conflict through ambiguity||Matei S.A.
|Information Society||English||2011||This article discusses how one of the most importantWikipedia policies, the "neutral point of view" (NPOV), is appropriated and interpreted by the participants in the Wikipedia project. By analyzing a set of constitutive documents for the Wikipedian universe, including discussion about NPOV, the authors conclude that ambiguity is at the heart of the policy process on Wikipedia. The overarching conclusion is that ambiguity onWikipedia is not extraneous, but a central ingredient of this wiki project's policymaking. Ambiguity naturally develops from the pluralist and nonhierarchic values of the culture that brought Wikipedia to life, and this conclusion requires that we reconsider the nature of "neutrality" practiced on Wikipedia. Copyright||0||0|
|From Encyclopædia Britannica to Wikipedia: Generational differences in the perceived credibility of online encyclopedia information||Andrew J. Flanagin
Miriam J. Metzger
|Information, Communication & Society||English||18 November 2010||This study examined the perceived credibility of user-generated (i.e. Wikipedia)
versus more expertly provided online encyclopedic information (i.e. Citizendium, and the online version of the Encyclopædia Britannica) across generations. Two large-scale surveys with embedded quasi-experiments were conducted: among 11 –18-year-olds living at home and among adults 18 years and older. Results showed that although use of Wikipedia is common, many people (particularly adults) do not truly comprehend how Wikipedia operates in terms of information provision, and that while people trust Wikipedia as an information source, they express doubt about the appropriateness of doing so. A companion quasi-experiment found that both children and adults assess information to be more credible when it originates or appears to originate from Encyclopædia Britannica. In addition, chil- dren rated information from Wikipedia to be less believable when they viewed it on Wikipedia’s site than when that same information appeared on either Citizendium’s site or on Encyclopædia Britannica’s site. Indeed, content originating from Wikipe- dia was perceived by children as least credible when it was shown on a Wikipedia page, yet the most credible when it was shown on the page of Encyclopædia Brit-annica. The practical and theoretical implications of these results are discussed.
|Changes in middle school students' six contemporary learning abilities (6-CLAs) through project-based design of web-games and social media use||Rebecca Reynolds||Proceedings of the ASIST Annual Meeting||English||2010||This poster presents findings on student development of contemporary learning abilities among 14 middle school students enrolled in a year-long elective game design class. The study measures students' change in attitudes towards the activities in which they participate, through their responses to a self-report survey of frequency, motivation, and self-reported knowledge. T-test statistics were used to analyze pre- and post-program differences, resulting in several statistically significant increases. The program and its outcomes have implications for digital literacy learning interventions that can be implemented in formal and informal learning environments with youth.||0||0|
|E-Silkroad: A sample of combining social media with cultural tourism||Wang Q.
|CMM'10 - Proceedings of the 1st ACM Workshop on Connected Multimedia, Co-located with ACM Multimedia 2010||English||2010||With the development of Web2.0, very large scale resources of multimedia have emerged in the internet. In this paper, we present a novel framework of building a tour guide based on the online knowledge resources, e.g., e-Silkroad, a photographic guide of traditional Silkroad. The tour guide is jointly established by text information from Wikipedia and images from flickr website. Our method starts from a keyword "silkroad" in Wiki and typical cities are extracted and regarded as the key threads of the guide. Then a great number of images and their description tags are downloaded from Flickr website. To highlight the most interesting place and more active tourist, the framework computes the hot spots and photographers in the dataset. To introduce each place along the silkroad, all the images are classified into four categories by its content, including person, food, man-made, and sights. Finally, the images are registered into Google Maps according to the geog-tag descriptions along silk routes to generate e-Silkroad. In our evaluation experiment, 20676 images were downloaded from 35 key cities along silkroad. Experimental results show that it is effective from social media to cultural tourism under the connected environment.||0||0|
|Egalitarians at the gate: One-sided gatekeeping practices in social media||Brian Keegan
|English||2010||Although Wikipedia has increasingly attracted attention for its in-depth and timely coverage of breaking news stories, the social dynamics of how Wikipedia editors process breaking news items has not been systematically examined. Through a 3-month study of 161 deliberations over whether a news item should appear on Wikipedia's front page, we demonstrate that elite users fulfill a unique gatekeeping role that permits them to leverage their community position to block the promotion of inappropriate items. However, these elite users are unable to promote their supported news items more effectively than other types of editors. These findings suggest that "one-sided gatekeeping" may reflect a crucial stasis in social media where the community has to balance the experience of its elite users while encouraging contributions from non-elite users. Copyright 2010 ACM.||0||1|
|Factors impeding Wiki use in the enterprise: A case study||Holtzblatt L.J.
|Conference on Human Factors in Computing Systems - Proceedings||English||2010||Our research explored factors that impacted the use of wikis as a tool to support the dissemination of knowledge within an enterprise. Although we primarily talked to a population of wiki contributors and readers, we discovered two major factors which contributed to staff's unwillingness to share information on a wiki under certain circumstances. First, we uncovered a reluctance to share specific information due to a perceived extra cost, the nature of the information, the desire to share only "finished" content, and sensitivities to the openness of the sharing environment. Second, we discovered a heavy reliance on other, non-wiki tools based on a variety of factors including work practice, lack of guidelines, and cultural sensitivities. Our findings have several implications for how an enterprise may more fully reap the benefits of wiki technology. These include implementation of incentive structures, support for dynamic access control, documenting clear guidelines and policies, and making wikis more usable.||0||0|
|Factors impeding Wiki use in the enterprise: a case study||Lester J. Holtzblatt
Laurie E. Damianos
|Governance in social media: A case study of the Wikipedia promotion process||Leskovec J.
|ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media||English||2010||Social media sites are often guided by a core group of committed users engaged in various forms of governance. A crucial aspect of this type of governance is deliberation, inwhich such a group reaches decisions on issues of importance to the site. Despite its crucial - though subtle - role in how a number of prominent social media sites function, there has been relatively little investigation of the deliberative aspects of social media governance. Here we explore this issue, investigating a particular deliberative process that is extensive, public, and recorded: the promotion of Wikipedia admins, which is determined by elections that engage committed members of the Wikipedia community. We find that the group decision-making at the heart of this process exhibits several fundamental forms of relative assessment. First we observe that the chance that a voter will support a candidate is strongly dependent on the relationship between characteristics of the voter and the candidate. Second we investigate how both individual voter decisions and overall election outcomes can be based on models that take into account the sequential, public nature of the voting. Copyright © 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.||0||3|
|Incorporating multi-partite networks and expertise to construct related-term graphs||Shieh J.-R.
|Proceedings - IEEE International Conference on Data Mining, ICDM||English||2010||Term suggestion techniques recommend query terms to a user based on his initial query. Providing adequate term suggestions is a challenging task. Most existing commercial search engines suggest search terms based on the frequency of prior used terms that match the first few letters typed by the user. We present a novel mechanism to construct semantic term-relation graphs to suggest semantically relevant search terms. We build term relation graphs based on multi-partite networks of existing social media. These linkage networks are extracted from Wikipedia to eventually form term relation graphs. We propose incorporating contributor-category networks to model the contributor expertise. This step has been shown to significantly enhance the accuracy of the inferred relatedness of the term-semantic graphs. Experiments showed the obvious advantage of our algorithms over existing approaches||0||0|
|On the sampling of web images for learning visual concept classifiers||Zhu S.
|CIVR 2010 - 2010 ACM International Conference on Image and Video Retrieval||English||2010||Visual concept learning often requires a large set of training images. In practice, nevertheless, acquiring noise-free training labels with sufficient positive examples is always expensive. A plausible solution for training data collection is by sampling the largely available user-tagged images from social media websites. With the general belief that the probability of correct tagging is higher than that of incorrect tagging, such a solution often sounds feasible, though is not without challenges. First, user-tags can be subjective and, to certain extent, are ambiguous. For instance, an image tagged with "whales" may be simply a picture about ocean museum. Learning concept "whales" with such training samples will not be effective. Second, user-tags can be overly abbreviated. For instance, an image about concept "wedding" may be tagged with "love" or simply the couple's names. As a result, crawling sufficient positive training examples is difficult. This paper empirically studies the impact of exploiting the tagged images towards concept learning, investigating the issue of how the quality of pseudo training images affects concept detection performance. In addition, we propose a simple approach, named semantic field, for predicting the relevance between a target concept and the tag list associated with the images. Specifically, the relevance is determined through concept-tag co-occurrence by exploring external sources such as WordNet and Wikipedia. The proposed approach is shown to be effective in selecting pseudo training examples, exhibiting better performance in concept learning than other approaches such as those based on keyword sampling and tag voting. Copyright||0||0|
|The implications of information democracy and digital socialism for public libraries||Oguz E.S.
|Communications in Computer and Information Science||English||2010||In these times, public libraries in many countries have increasingly come under pressure from developments within the information landscape. Thus, not least because of the massive digitization of information resources, the proliferation and popularity of search engines, in particular Google, and the booming technologies of Web 2.0, public libraries find themselves in a very complex situation. In fact, the easy-to-use technologies of Web 2.0 challenge the basic principles of information services provision undertaken by libraries. The new digital information environment and social software tools such as blogs, wikis and social networking sites have fuelled a discussion of the future of public libraries as information providers. After all there seems to be a need for public libraries to reorient their aims and objectives and to redefine their service identity. At the same time search engines, and especially Google, are increasingly coming under scrutiny. Thus, analysis results referred to show that the conception of information and the underlying purpose of Google differ from those of public libraries. Further, an increasing amount of criticism is being directed at collaborative spaces (typically Wikipedia) and social networks (e.g. MySpace) and it is pointed out that these social media are not that innocent and unproblematic. In discussing the survival of public libraries and devising an updated role for libraries in the age of Google and social media, attention should be given to fleshing out a new vision for the public library as a provider of alternative information and as an institution supporting information democracy.||0||0|
|Traffic in social media I: Paths through information networks||Jacob Ratkiewicz
|Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust||English||2010||Wikipedia is used every day by people all around the world, to satisfy a variety of information needs. We cross-correlate multiple Wikipedia traffic data sets to infer various behavioral features of its users: their usage patterns (e.g., as a reference or a source); their motivations (e.g., routine tasks such as student homework vs. information needs dictated by news events); their search strategies (how and to what extent accessing an article leads to further related readings inside or outside Wikipedia); and what determines their choice of Wikipedia as an information resource. We primarily study article hit counts to determine how the popularity of articles (and article categories) changes over time, and in response to news events in the English-speaking world. We further leverage logs of actual navigational patterns from a very large sample of Indiana University users over a period of one year, allowing us unprecedented ability to study how users traverse an online encyclopedia. This data allows us to make quantitative claims about how users choose links when navigating Wikipedia. From this same source of data we are further able to extract analogous navigation networks representing other large sites, including Facebook, to compare and contrast the use of these sites with Wikipedia. Finally we present a possible application of traffic analysis to page categorization.||0||1|
|Traffic in social media II: Modeling bursty popularity||Jacob Ratkiewicz
|Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust||English||2010||Online popularity has enormous impact on opinions, culture, policy, and profits, especially with the advent of the social Web and Web advertising. Yet the processes that drive popularity in our online world have only begun to be explored. We provide a quantitative, large scale, longitudinal analysis of the dynamics of online content popularity in two massive model systems, the Wikipedia and an entire country's Web space. In these systems, we track the change in the number of links to pages, and the number of times these pages are visited. We find that these changes occur in bursts, whose magnitude and time separation are very broadly distributed. This finding is in contrast with previous reports about news-driven content, and has profound implications for understanding collective attention phenomena in general, and Web trends in particular. To make sense of these empirical results, we offer a simple model that mimics the exogenous shifts of user attention and the ensuing non-linear perturbations in popularity rankings. While established models based on preferential attachment are insufficient to explain the observed dynamics, our stylized model is successful in recovering the key features observed in the empirical analysis of our systems.||0||1|
|Treat your customers as equals! Fostering customer collaboration through social media||Ellonen H.-K.
|International Journal of Electronic Marketing and Retailing||English||2010||The purpose of this paper is to explore, firstly, how companies and customers interact using social media, and secondly, how social-media-mediated interactions support customer collaboration. We identify two modes of interaction: the relationship-oriented mode and the instrumental mode. The former reflects relationship marketing in that it emphasises reciprocal and bilateral communication, while the latter reflects transaction marketing with its one-way and company-controlled communication. On the basis of the analysis of four cases, it is suggested that relationship-oriented social-media interactions support customer collaboration. In particular, it seems that ongoing customer-to-customer interactions supported by relationship-oriented company participation provide a fertile ground for diverse forms of virtual customer collaboration. We also found that the social-media applications used did not define the interaction mode. The responsibility for defining the objectives, choosing the applications and setting the mode lies within the hosting company. Copyright||0||0|
|User-contributed descriptive metadata for libraries and cultural institutions||Zarro M.A.
|Lecture Notes in Computer Science||English||2010||The Library of Congress and other cultural institutions are collecting highly informative user-contributed metadata as comments and notes expressing historical and factual information not previously identified with a resource. In this observational study we find a number of valuable annotations added to sets of images posted by the Library of Congress on the Flickr Commons. We propose a classification scheme to manage contributions and mitigate information overload issues. Implications for information retrieval and search are discussed. Additionally, the limits of a "collection" are becoming blurred as connections are being built via hyperlinks to related resources outside of the library collection, such as Wikipedia and locally relevant websites. Ideas are suggested for future projects, including interface design and institutional use of user-contributed information.||0||0|
|Wikis at work: Success factors and challenges for sustainability of enterprise wikis||Jonathan Grudin
|WikiSym 2010||English||2010||We examined wiki use in a range of enterprise settings. We found many thriving wikis, but they were a minority of the thousands for which we obtained data. Even an actively used wiki can disappoint some important stakeholders. Careful stakeholder analysis and education may be crucial to successful wiki deployment. We identify a range of success factors, sources of wiki abandonment, and approaches to addressing the challenges. Some of our observations may extend to other social media.||0||0|
|Workshop on current issues in predictive approaches to intelligence and security analytics: Fostering the creation of decision advantage through model integration and evaluation||Sanfilippo A.||ISI 2010 - 2010 IEEE International Conference on Intelligence and Security Informatics: Public Safety and Security||English||2010||The increasing asymmetric nature of threats to the security, health and sustainable growth of our society requires that anticipatory reasoning become an everyday activity. Currently, the use of anticipatory reasoning is hindered by the lack of systematic methods for combining knowledge- and evidence-based models, integrating modeling algorithms, and assessing model validity, accuracy and utility. The workshop addresses these gaps with the intent of fostering the creation of a community of interest on model integration and evaluation that may serve as an aggregation point for existing efforts and a launch pad for new approaches.||0||0|
|Adoption of web based collaboration tools in the enterprise: Challenges and opportunities||Onyechi G.C.
|Proceedings of the 2009 International Conference on the Current Trends in Information Technology, CTIT 2009||English||2009||Many organisations nowadays are constantly seeking ways to improve their competitive edge and remain profitable. Organisations use new technology as a strategic tool which help create new ways of satisfying customer needs and working practices. Developments in internet technologies have led to the growing dependence on web-based technologies and more recently, collaboration software platforms. In spite of the vast amount of literature which describes the benefits organisations may reap through the use of these technologies, there is also skepticism regarding the adoption of these tools. This paper takes a critical look at the adoption of collaboration tools, focusing on social media, in the enterprise especially looking at the reason for skepticism in adopting these tools. Through surveys carried out amongst users of social media and case studies, the research looks at the value adding capabilities of social media in business, the challenges and opportunities, and adoption issues.||0||0|
|Comparison of middle school, high school and community college students' wiki activity in Globaloria-West Virginia (pilot year-two)||Rebecca Reynolds
|WikiSym||English||2009||Constructionist-learning researchers have long emphasized the epistemological value of programming games for learning and cognition. This study reports student experiences in a program of game design and Web 2.0 learning offered to disadvantaged West Virginia middle, high school and community college students. Specifically, the poster presents findings on the extent of student use of the Wiki for project management, teamwork and self-presentation of game design attributes, comparing results across 13 school pilot locations. Also presented are students' self-reported recommendations for possible improvements to the wiki. Results indicate that some locations were more active in their wiki use; the poster addresses location-specific implementation context factors that may have played a role in the variant results.||0||0|
|Content quality assessment related frameworks for social media||Chai K.
|Lecture Notes in Computer Science||English||2009||The assessment of content quality (CQ) in social media adds a layer of complexity over traditional information quality assessment frameworks. Challenges arise in accurately evaluating the quality of content that has been created by users from different backgrounds, for different domains and consumed by users with different requirements. This paper presents a comprehensive review of 19 existing CQ assessment related frameworks for social media in addition to proposing directions for framework improvements.||0||0|
|Exploring Flickr's related tags for semantic annotation of web images||Xu H.
|CIVR 2009 - Proceedings of the ACM International Conference on Image and Video Retrieval||English||2009||Exploring social media resources, such as Flickr and Wikipedia to mitigate the difficulty of semantic gap has attracted much attention from both academia and industry. In this paper, we first propose a novel approach to derive semantic correlation matrix from Flickr's related tags resource. We then develop a novel conditional random field model for Web image annotation, which integrates the keyword correlations derived from Flickr, and the textual and visual features of Web images into an unified graph model to improve the annotation performance. The experimental results on real Web image data set demonstrate the effectiveness of the proposed keyword correlation matrix and the Web image annotation approach. Copyright 2009 ACM.||0||0|
|Group Intelligence: A distributed cognition perspective||Mansour O.||International Conference on Intelligent Networking and Collaborative Systems, INCoS 2009||English||2009||The question of whether intelligence can be attributed to groups or not has been raised in many scientific disciplines. In the field of computer-supported collaborative learning, this question has been examined to understand how computer-mediated environments can augment human cognition and learning on a group level. The era of social computing which represents the emergence of Web 2.0 collaborative technologies and social media has stimulated a wide discussion about collective intelligence and the global brain. This paper reviews the theory of distributed cognition in the light of these concepts in an attempt to analyze and understand the emergence process of intelligence that takes place in the context of computer-mediated collaborative and social media environments. It concludes by showing that the cognitive organization, which occurs within social interactions serves as a catalyst for intelligence to emerge on a group level. Also a process model has been developed to show the process of collaborative knowledge construction in Wikipedia that characterizes such cognitive organization.||0||0|
|How do social media shape the information environment in the financial market?||Xu S.X.
|ICIS 2009 Proceedings - Thirtieth International Conference on Information Systems||English||2009||Internet users create social media that enable information to be transferred more efficiently. In this work we focus on a typical social media platform Wikipedia and examine how management's voluntary disclosure reacts to information arrivals on Wikipedia. In doing so, we seek to answer the question of whether social media indeed improve the information environment for investors in the financial market. Our analysis is based on a unique dataset collected from the modification history of firm entries on Wikipedia, and thus we are able to identify information arrivals on Wikipedia. We find that information arrivals on Wikipedia affect the timing of management disclosure of bad news, and the effect is in sharp contrast to the way in which traditional media affect management disclosure. Further, we find consistent evidence that information arrivals on Wikipedia preempt the negative reaction of the market to bad news. In contrast, more news coverage in traditional media exacerbates the problem of optimistic analyst forecasts. Together these findings emphasize that social media have an identifiable effect on both the management side and the investor side in the financial market.||0||0|
|Learning landmarks by exploiting social media||Liang C.-K.
|Lecture Notes in Computer Science||English||2009||This paper introduces methods for automatic annotation of landmark photographs via learning textual tags and visual features of landmarks from landmark photographs that are appropriately location-tagged from social media. By analyzing spatial distributions of text tags from Flickr's geotagged photos, we identify thousands of tags that likely refer to landmarks. Further verification by utilizing Wikipedia articles filters out non-landmark tags. Association analysis is used to find the containment relationship between landmark tags and other geographic names, thus forming a geographic hierarchy. Photographs relevant to each landmark tag were retrieved from Flickr and distinctive visual features were extracted from them. The results form ontology for landmarks, including their names, equivalent names, geographic hierarchy, and visual features. We also propose an efficient indexing method for content-based landmark search. The resultant ontology could be used in tag suggestion and content-relevant re-ranking.||0||0|
|Multi-dimensional moderation in online communities: Experiences with three Norwegian sites||Ghinea G.
|Lecture Notes in Computer Science||English||2009||Online-communities and user contribution of content have become widespread over the last years. This has triggered new and innovative web concepts, and perhaps also changed the power balance in the society. Many large corporations have embraced this way of creating content to their sites, which has raised concerns regarding abusive content. Previous research has identified two main different types of moderation; one where the users have most of the control as in Wikipedia, and the other where the owners control everything. The media industry, in particular, are reluctant to loose the control of their content by using the member-maintained approach even if it has proven to cost less and be more efficient. This research proposes to merge these two moderation types through a concept called multidimensional moderation. To test this concept, two prototype solutions have been implemented and tested in large-scale discussion groups. The results from this study show that a combination of owner and user moderation may enhance the moderation process.||0||0|
|Towards the integration of social media with traditional information systems||Rees M.
|Lecture Notes in Computer Science||English||2009||This paper was inspired by the authors' personal experience of using social media systems over the last two years. During that time both authors have used a range of public, private and hosted social media systems for their professional activities and well as for personal use. They and other colleagues are convinced that a unified approach to social media systems can benefit the communications processes within their institution and its interaction with their important existing and potential clients, the students and alumni. After discussing the existing ad hoc use of social media the authors propose an action plan to achieve a cohesive approach to the more effective exploitation of social media.||0||0|
|Leer y escribir en la web social: uso de blogs, wikis y multimedia compartida en educación||Cristian Cabezas Mardones||Serie Bibliotecología y Gestión de Información||Spanish||March 2008||Brief literature review about the interconnection of social web/ web 2.0, education and library. Its focus is the development of reading, writing and multimedia creation skills. As a conclusion a set of good practices is identified to help the adoption of social software in an educational environment.||2||0|
|Tutkimusparvi the open research swarm in Finland||Heiskanen T.
|MindTrek - 12th International MindTrek Conference: Entertainment and Media in the Ubiquitous Era||English||2008||in this paper, we introduce a new kind of scientific collaboration type (open research swarm) and describe a realization (Tutkimusparvi) of this new type of scientific social network. Swarming is an experiment in selforganizing and a novel way to collaborate in the field of academic research. Open research swarms utilize the possibilities of Internet, especially the social media tools that are now available because of the web 2.0 boom. The main goal is to collectively attain rapid solutions to given challenges and to develop a distributed intellectual milieu for researchers. Transparency of the research and creative collaboration are central ideas behind open research swarms. Like Wikipedia, open research swarm is open for everyone to participate. The questions and research topics can come from open research swarm participants, from a purposed principal or from general discussions on the mass media. Copyright 2008 ACM.||0||0|
|All that Glisters is not gold' - Web 2.0 and the Librarian||Anderson P.||Journal of Librarianship and Information Science||English||2007||Web 2.0 and social media applications such as blogs, wikis and social networking sites offer the promise of a more vibrant, social and participatory Internet. There is a growing interest within the library community in debating the potential impact that such services might have within libraries and such debates have gathered around the moniker of 'Library 2.0'. To date, however, there has been little theoretical work and there is a need to develop more formal definitions and frameworks. This editorial discusses the origins of the term Web 2.0, provides a structured framework for rationalizing the implications of Web 2.0 services and outlines some of the areas in which librarians are positioned to provide a unique contribution to the further development of such services. Copyright||0||0|
|Enhancing traditional media services utilising lessons learnt from successful social media applications - Case studies and framework||Back A.
|Openness in Digital Publishing: Awareness, Discovery and Access - Proceedings of the 11th International Conference on Electronic Publishing, ELPUB 2007||English||2007||The paper presents a framework for describing electronic media services. The framework was created by utilising earlier models and case studies of successful social media applications. Wikipedia, YouTube and MySpace were analysed because they are among the most popular sites in the world and they highlight different aspects of social media applications. The proposed model consists of two main parts: Concept and system, and Content and user. Both of them were further divided into four subgroups. With the help of a radar view, various applications can be described and compared and their further development opportunities identified. A prototype application, StorySlotMachine, is used as a case example, where the framework is used.||0||0|
|Blogs and wikis: A personal journey||Ward R.||Business Information Review||English||2006||Describes the use of social software and social media, incorporating blogs and wikis, to develop websites to support internal communication and collaboration in a law firm. Explains that blogs foster regular and timely personal communication and dialogue for a defined group, and wikis can be used to create knowledge resources or as a collaborative working or project management tool. Outlines the traditional knowledge management model for law firms, and explains how the arrival of a new global head of know-how and training prompted the investigation of how social media might support the firm's knowhow systems. Provides advice on how to successfully set up an initial blog or wiki project. Copyright||0||0|
|Web 2.0 and Business: A pointer to the intranets of the future?||Tredinnick L.||Business Information Review||English||2006||Explores the application of Web 2.0 technologies to business intranets, and their potential use in managing and developing business information and knowledge assets. Considers how Web 2.0 approaches on the public web are subtly reshaping the relationship between users and information. Argues that Web 2.0 is not a technological innovation, but is changing the understanding of the status of information, knowledge and the role of the user in information applications. Suggests that, as information proliferates, control is being gradually ceded to users, opening up the possibility of a new, more democratic, and more evaluative phase in the exploitation of information within organizations. Copyright||0||0|