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Facebook is included as keyword or extra keyword in 0 datasets, 0 tools and 34 publications.
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|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Bootstrapping Wikipedia to answer ambiguous person name queries||Gruetze T.
|Proceedings - International Conference on Data Engineering||English||2014||Some of the main ranking features of today's search engines reflect result popularity and are based on ranking models, such as PageRank, implicit feedback aggregation, and more. While such features yield satisfactory results for a wide range of queries, they aggravate the problem of search for ambiguous entities: Searching for a person yields satisfactory results only if the person in question is represented by a high-ranked Web page and all required information are contained in this page. Otherwise, the user has to either reformulate/refine the query or manually inspect low-ranked results to find the person in question. A possible approach to solve this problem is to cluster the results, so that each cluster represents one of the persons occurring in the answer set. However clustering search results has proven to be a difficult endeavor by itself, where the clusters are typically of moderate quality. A wealth of useful information about persons occurs in Web 2.0 platforms, such as Wikipedia, LinkedIn, Facebook, etc. Being human-generated, the information on these platforms is clean, focused, and already disambiguated. We show that when searching with ambiguous person names the information from Wikipedia can be bootstrapped to group the results according to the individuals occurring in them. We have evaluated our methods on a hand-labeled dataset of around 5,000 Web pages retrieved from Google queries on 50 ambiguous person names.||0||0|
|Blogs, wikis and social networking sites: A cross institutional survey amongst Greek students||Ponis S.T.
|Int. J. Web Based Communities||English||2013||In this paper, we attempt to explore the penetration of Web 2.0 technologies amongst Greek students, determine their level of usage and explore the students' opinions and perceptions regarding their usefulness for learning and educational purposes. In that context, we present the initial results of a survey-based cross-institutional study, conducted between September 15 and October 30, 2010, on a sample of five hundred undergraduate students from the two oldest university establishments in Greece. Our survey results reveal that social networking sites despite being by far, the most popular Web 2.0 service amongst Greek students, present the lowest perceived value in regards of the service's usefulness for educational and studying support purposes. On the other hand, blogs and wikis, which are considered educationally more useful by students, present low percentages of systematic use and content contribution and even lower percentages of ownership. Following the initial descriptive analysis of our cross institutional survey data presented in this paper, we are in the process of conducting a series of statistical tests for identifying significant correlations between variables and testing a set of prescribed research hypotheses. Copyright||0||0|
|Characterizing and curating conversation threads: Expansion, focus, volume, re-entry||Backstrom L.
|WSDM 2013 - Proceedings of the 6th ACM International Conference on Web Search and Data Mining||English||2013||Discussion threads form a central part of the experience on many Web sites, including social networking sites such as Facebook and Google Plus and knowledge creation sites such as Wikipedia. To help users manage the challenge of allocating their attention among the discussions that are relevant to them, there has been a growing need for the algorithmic curation of on-line conversations - - the development of automated methods to select a subset of discussions to present to a user. Here we consider two key sub-problems inherent in conversational curation: length prediction - - predicting the number of comments a discussion thread will receive - - and the novel task of re-entry prediction - - predicting whether a user who has participated in a thread will later contribute another comment to it. The first of these sub-problems arises in estimating how interesting a thread is, in the sense of generating a lot of conversation; the second can help determine whether users should be kept notified of the progress of a thread to which they have already contributed. We develop and evaluate a range of approaches for these tasks, based on an analysis of the network structure and arrival pattern among the participants, as well as a novel dichotomy in the structure of long threads. We find that for both tasks, learning-based approaches using these sources of information.||0||0|
|Leveraging encyclopedic knowledge for transparent and serendipitous user profiles||Narducci F.
De Gemmis M.
|Lecture Notes in Computer Science||English||2013||The main contribution of this work is the comparison of different techniques for representing user preferences extracted by analyzing data gathered from social networks, with the aim of constructing more transparent (human-readable) and serendipitous user profiles. We compared two different user models representations: one based on keywords and one exploiting encyclopedic knowledge extracted from Wikipedia. A preliminary evaluation involving 51 Facebook and Twitter users has shown that the use of an encyclopedic-based representation better reflects user preferences, and helps to introduce new interesting topics.||0||0|
|A social network for video annotation and discovery based on semantic profiling||Bertini M.
Del Bimbo A.
|WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion||English||2012||This paper presents a system for the social annotation and discovery of videos based on social networks and social knowledge. The system, developed as a web application, allows users to comment and annotate, manually and automatically, video frames and scenes enriching their content with tags, references to Facebook users and pages and Wikipedia resources. These annotations are used to semantically model the interests and the folksonomy of each user and resource in the network, and to suggest to users new resources, Facebook friends and videos whose content is related to their interests. A screencast showing an example of these functionalities is publicly available at: http://vimeo.com/miccuni-/facetube. Copyright is held by the International World Wide Web Conference.||0||0|
|Analyzing design tradeoffs in large-scale socio-technical systems through simulation of dynamic collaboration patterns||Dorn C.
|Lecture Notes in Computer Science||English||2012||Emerging online collaboration platforms such as Wikipedia, Twitter, or Facebook provide the foundation for socio-technical systems where humans have become both content consumer and provider. Existing software engineering tools and techniques support the system engineer in designing and assessing the technical infrastructure. Little research, however, addresses the engineer's need for understanding the overall socio-technical system behavior. The effect of fundamental design decisions becomes quickly unpredictable as multiple collaboration patterns become integrated into a single system. We propose the simulation of human and software elements at the collaboration level. We aim for detecting and evaluating undesirable system behavior such as users experiencing repeated update conflicts or software components becoming overloaded. To this end, this paper contributes (i) a language and (ii) methodology for specifying and simulating large-scale collaboration structures, (iii) example individual and aggregated pattern simulations, and (iv) evaluation of the overall approach.||0||0|
|Hidden community detection based on microblog by opinion-consistent analysis||Fu M.-H.
|International Conference on Information Society, i-Society 2012||English||2012||The content or topic of post on the social network such as microblog, forum are usually reflected user's interests. Traditional community detection methods only consider explicit information of users. So that data analysis is limited in user predefined attributes. In order to solve this problem, a hidden community detection framework is proposed in this paper called opinion-consistent hidden community (OCHC) framework. Firstly, we collect and process post comments on facebook. Then, the post topic that the target user participated in can be defined through topic identification by the selected ontology, Wikipedia. Moreover, opinion-consistency between users and the target user is discovered by sentiment analysis. In brief, opinion mining and sentiment analysis are used to track the users who have the similar opinion on the specific topics. Besides, users focus on different features with different scopes on facebook can be found by multi-level OCHC framework that we proposed in this paper. Communities of opinion-consistent users are clustered Multi-level OCHC model. There are two major improvements of OCHC framework, one is that post topic is decided by topic identification instead of user-self, and the other is that user opinions are also considered during analysis phrase on OCHC framework. In experiment results, accuracy of topic identification promoted 5.5% than other methods and the time complexity reached 26 times faster than other one. On quantitative measurements of Polarity and Multi-Dimension sentiment analysis methods are performed well.||0||0|
|Integrating social networking tools into ESL writing classroom: Strengths and weaknesses||Yunus M.M.
|English Language Teaching||English||2012||With the rapid development of world and technology, English learning has become more important. Teachers frequently use teacher-centered pedagogy that leads to lack of interaction with students. This paper aims to investigate the advantages and disadvantages of integrating social networking tools into ESL writing classroom and discuss the ways to plan activities by integrating social networking services (SNSs) into the classroom. Data was collected through an online discussion board from TESL students in a state university in Malaysia. The findings revealed that integrating social networking services in ESL writing classroom could help to broaden students' knowledge, increase their motivation and build confidence in learning ESL writing. The students' difficulties for concentrating on the materials when they use computer, lack of enough equipment as well as access to internet, and teachers' insufficient time to interact with the students were regarded as the main disadvantages of integrating social networking tools into ESL writing classes. Therefore, in this new technological era, it is essential for students and teachers to be equipped with technical skills to be competent for life-long learning and teaching. More studies are needed to explore the teachers' and students' attitudes towards using ICT in ESL/EFL contexts. Future quantitative and qualitative studies with more participants are needed to provide deeper insight.||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|
|Link prediction on evolving data using tensor-based common neighbor||Cui H.||Proceedings - 2012 5th International Symposium on Computational Intelligence and Design, ISCID 2012||English||2012||Recently there has been increasingly interest in researching links between objects in complex networks, which can be helpful in many data mining tasks. One of the fundamental researches of links between objects is link prediction. Many link prediction algorithms have been proposed and perform quite well, however, most of those algorithms only concerns network structure in terms of traditional graph theory, which lack information about evolving network. In this paper we proposed a novel tensor-based prediction method, which is designed through two steps: First, tracking time-dependent network snapshots in adjacency matrices which form a multi-way tensor by using exponential smoothing method. Second, apply Common Neighbor algorithm to compute the degree of similarity for each nodes. This algorithm is quite different from other tensor-based algorithms, which also mentioned in this paper. In order to estimate the accuracy of our link prediction algorithm, we employ various popular datasets of social networks and information platforms, such as Facebook and Wikipedia networks. The results show that our link prediction algorithm performances better than another tensor-based algorithms mentioned in this paper.||0||0|
|Social and automatic annotation of videos for semantic profiling and content discovery||Bertini M.
Del Bimbo A.
|MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia||English||2012||This demo presents a system based on social relationships, social knowledge and automatic video and textual content analysis for the discovery of videos in social networks. The system, developed as a web application, allows users to annotate, manually and automatically, and comment video frames and scenes enriching their content with tags, references to Facebook users and pages and Wikipedia resources. These annotations are used to semantically model the profile of each user extracting and expanding his interests and folksonomy, as well as resources of interest in his social graph. The automatically generated profile page is used to suggest to users new resources, Facebook friends and videos whose content is related to their interests and allows profile curation. A screencast showing an example of these functionalities is publicly available at: http://vimeo.com/miccunifi/facetube.||0||0|
|Tasteweights: A visual interactive hybrid recommender system||Svetlin Bostandjiev
|RecSys'12 - Proceedings of the 6th ACM Conference on Recommender Systems||English||2012||This paper presents an interactive hybrid recommendation system that generates item predictions from multiple social and semantic web resources, such as Wikipedia, Facebook, and Twitter. The system employs hybrid techniques from traditional recommender system literature, in addition to a novel interactive interface which serves to explain the recommendation process and elicit preferences from the end user. We present an evaluation that compares different interactive and non-interactive hybrid strategies for computing recommendations across diverse social and semantic web APIs. Results of the study indicate that explanation and interaction with a visual representation of the hybrid system increase user satisfaction and relevance of predicted content. Copyright © 2012 by the Association for Computing Machinery, Inc. (ACM).||0||0|
|Web 2.0 tools in Library web pages: Survey of Universities and institutes of national importance of West Bengal||Majumdar S.||DESIDOC Journal of Library and Information Technology||English||2012||The present article is a web survey of Library web pages of different Universities as well as Institutes of National Importance web sites of the state of West Bengal regarding application of Web 2.0 technology and tools to enhance library services to patrons. Brief introduction to different Web 2.0 tools such as Blog, Wiki, RSS, Podcast, etc. is given. Based on the analysis of collected data, a few questions are raised to be dug deeper into the malady of present condition.||0||0|
|Web 2.0-based E-learning: A probe into the application of online social networking in college freshman English curriculum||Chung L.-Y.||Advanced Materials Research||English||2012||Interaction, sharing, and connection are at the heart of Web 2.0, giving rise to innovative online media usage and the concept social networking that have transformed not only the network behavior of the masses, but also the form of online learning. In college English learning courses, Web 2.0 provides real-time and easily-accessible online resources for students to search for the information they need, granting them more autonomy in the English learning process. Meanwhile, Web 2.0-based network tools and video-sharing platform, such as Wikipedia and podcasts, provide a user-oriented and user-centered mechanism that allows personal creation, cooperative creation, interactive social networking, and peer-to-peer mutual learning, as an extension to the scope of autonomous English learning. In addition, with the rising popularity of Web 2.0-inspired social networking sites like Facebook, Twitter and blogs, the concept of social networking should also be increasingly incorporated into language education, since it promotes online interactions among English learners, while facilitating the establishment of information sharing, data query, and learning partnership in the network learning community. Thus, this project exploits Web 2.0-based online learning as the framework to design freshman English materials fusing social learning elements, for the purpose of boosting students' interests for enhanced learning effectiveness, expanding e-learning into s-learning.||0||0|
|Approaching Web accessibility through the browser: Automatically applying ARIA attributes||Harrington N.
|PLASTIC'11 - Proceedings of the 1st ACM SIGPLAN International Workshop on Programming Language and Systems Technologies for Internet Clients||English||2011||For people with disabilities who require the use of screen readers it is difficult, if not impossible, to interact with Web applications like Facebook, Wikipedia, and Google due to a lack of information available to the screen reader describing the widgets, structures, and behaviours of the Web application. In this paper we explore the idea of automatically augmenting Web applications with attributes, provided by the Accessible Rich Internet Application specification, to increase usability for screen reader users through both Web browser extensions and the browser itself. We show that this automatic approach is feasible, but in order to process dynamic content and avoid degrading the user experience, it is necessary to implement such functionality in the Web browser.||0||0|
|Concept based modeling approach for blog classification using fuzzy similarity||Ayyasamy R.K.
|Proceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011||English||2011||As information technology is developing in a faster pace, there is a steep increase in social networking where the user can share their knowledge, views, criticism through various ways such as blogging, facebook, microblogging, news, forums, etc. Among these various ways, blogs play a different role as it is a personal site for each user, and blogger writes lengthy posts on various topics. Several research works are carried out, to classify blogs based on machine learning techniques. In this paper, we describe a method for classifying blog posts automatically using fuzzy similarity. We perform, experiments using TREC dataset and applied our approach to six different fuzzy similarity measures. Experimental results proved that Einstein fuzzy similarity measures performs better than the other measures.||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|
|Enriching and localizing semantic tags in internet videos||Ballan L.
|MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops||English||2011||Tagging of multimedia content is becoming more and more widespread as web 2.0 sites, like Flickr and Facebook for images, YouTube and Vimeo for videos, have popularized tagging functionalities among their users. These user-generated tags are used to retrieve multimedia content, and to ease browsing and exploration of media collections, e.g. using tag clouds. However, not all media are equally tagged by users: using the current browsers is easy to tag a single photo, and even tagging a part of a photo, like a face, has become common in sites like Flickr and Facebook; on the other hand tagging a video sequence is more complicated and time consuming, so that users just tag the overall content of a video. In this paper we present a system for automatic video annotation that increases the number of tags originally provided by users, and localizes them temporally, associating tags to shots. This approach exploits collective knowledge embedded in tags and Wikipedia, and visual similarity of key frames and images uploaded to social sites like YouTube and Flickr. 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|
|Sentiment analysis of news titles: The role of entities and a new affective lexicon||Loureiro D.
|Lecture Notes in Computer Science||English||2011||The growth of content on the web has been followed by increasing interest in opinion mining. This field of research relies on accurate recognition of emotion from textual data. There's been much research in sentiment analysis lately, but it always focuses on the same elements. Sentiment analysis traditionally depends on linguistic corpora, or common sense knowledge bases, to provide extra dimensions of information to the text being analyzed. Previous research hasn't yet explored a fully automatic method to evaluate how events associated to certain entities may impact each individual's sentiment perception. This project presents a method to assign valence ratings to entities, using information from their Wikipedia page, and considering user preferences gathered from the user's Facebook profile. Furthermore, a new affective lexicon is compiled entirely from existing corpora, without any intervention from the coders.||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|
|Empowering business students: Using Web 2.0 tools in the classroom||Ramirez A.
|CSEDU 2010 - 2nd International Conference on Computer Supported Education, Proceedings||English||2010||This paper discusses the design of a course to empower business students using Web 2.0 technologies. We explore the learning phenomenon as a way to bring forward a process of continuous improvement supported by social software. We develop a framework to assess the infrastructure against expectations of skill proficiency using Web 2.0 tools which must emerge as a result of registering in an introductory business information and communication technologies (ICT) course in a business school of a Canadian university. We use Friedman's (2007) thesis that the "world is flat" to discuss issues of globalization and the role of ICT. Students registered in the course are familiar with some of the tools we introduce and use in the course. The students are members of Facebook or MySpace, regularly check YouTube, and use Wikipedia in their studies. They use these tools to socialize. We broaden the students' horizons and explore the potential business benefits of such tools and empower the students to use Web 2.0 technologies within a business context.||0||0|
|From bowling alone to tweeting together: Technology-mediated social participation||Hochheiser H.
|Interactions||English||2010||Mobile phones, email, blogs, wikis, tweets, and social networks are transforming the way families and friends relate, while offering new mechanisms for neighbors and colleagues to collaborate. If properly designed, these systems have the potential to span people, computation, communication, and action engaging participation from across the street and across the planet. Sites such as Facebook, LinkedIn, and Wikipedia provide guidance for constructive practices while demonstrating some of the challenges. Frequently updated content presented attractively, tutorials and FAQs, clear navigation paths, online help, and well-designed features for reading, searching, browsing, and sharing will help engage people. Robust tools for building consensus, canvassing opinion, and voting will help communities move from discussion to action and resolution. The widespread use of tools supporting neighborhood awareness and discussion of policy issues, from a local to an international scale, will help encourage the participatory citizenship needed for fully functioning democratic societies.||0||0|
|Lurking? Cyclopaths? A quantitative lifecycle analysis of user behavior in a geowiki||Katherine Panciera
|Conference on Human Factors in Computing Systems - Proceedings||English||2010||Online communities produce rich behavioral datasets, e.g., Usenet news conversations, Wikipedia edits, and Facebook friend networks. Analysis of such datasets yields important insights (like the "long tail" of user participation) and suggests novel design interventions (like targeting users with personalized opportunities and work requests). However, certain key user data typically are unavailable, specifically viewing, pre-registration, and non-logged-in activity. The absence of data makes some questions hard to answer; ac- cess to it can strengthen, extend, or cast doubt on previous results. We report on analysis of user behavior in Cyclopath, a geographic wiki and route-finder for bicyclists. With access to viewing and non-logged-in activity data, we were able to: (a) replicate and extend prior work on user lifecycles in Wikipedia, (b) bring to light some pre-registration activity, thus testing for the presence of "educational lurking," and (c) demonstrate the locality of geographic activity and how editing and viewing are geographically correlated.||0||0|
|SocialTrust++: Building community-based trust in social information systems||Caverlee J.
|Proceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010||English||2010||Social information systems - popularized by Facebook, Wikipedia, Twitter, and other social websites - are emerging as a powerful new paradigm for distributed social-powered information management. While there has been growing interest in these systems by businesses, government agencies, and universities, there remain important open challenges that must be addressed if the potential of these social systems is to be fully realized. For example, the presence of poor quality users and users intent on manipulating the system can disrupt the quality of socially-powered information and knowledge sharing applications. In this paper, we outline the SocialTrust++ project at Texas A&M University. The overall research goal of the SocialTrust++ project is to develop, analyze, deploy, and test algorithms for building, enabling, and leveraging community-based trust in Social Information Systems. Concretely, we are developing a trustworthy community-based information platform so that each user in a Social Information System can have transparent access to the community's trust perspective to enable more effective and efficient social information access.||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|
|WWW recycling for a better world||Stefano Ferretti
|Communications of the ACM||English||2010||Web 2.0 is affecting the structure of our society by creating new spaces of freedom, giving voice to any opinion, easing interpersonal relationships, and encouraging the creation of collaborating collectivities. Technologies such as blog, podcasting, wiki, and news feeds have the power to transform every user from a mere information consumer to a potential producer, from a spectator to an actor. The success of YouTube, MySpace, Facebook, and Wikipedia is under everybody's eyes. Generally speaking, Web 2.0 is seen as a powerful tool that, by exploiting Internet technologies, supplies services to the society, helping the entire socio-cultural system to develop and to move toward a democratic direction. Unfortunately, this imagery is partially distorted: first, Web 2.0 and Internet technologies are differently accessible by different parts of the society and, second, as many sociologists pointed out, their applications often appeal to users' egoistic purposes and self-celebration spirit. Although we cannot dismiss the value of current Web 2.0 applications, we are convinced there is a much more valuable potential that has not been exploited yet. By comparing the immense benefits that Web 2.0 could bring to the whole society, with its factual employment, one could provocatively change the meaning of the acronym WWW into World Wide Waste. We are hence convinced that it is necessary to redesign the utilization paradigm of Web 2.0 and, in general, of the Internet in order to recycle unused parts of Web 2.0 into altruistic bricks that could be appropriately rerouted and composed for alternative, unselfish employment.||0||0|
|An empirical study on the use of web 2.0 by Greek adult instructors in educational procedures||Vrettaros J.
|Communications in Computer and Information Science||English||2009||In this paper is presented an empirical study and its results. The empirical study was designed through a pilot training program which was conducted in order to learn if Greek educators can learn to use and even adopt the use of web 2.0 tools and services in the educational process and in which extend, where the type of learning is either distant learning, blended learning or the learning takes place in the traditional classroom.||0||0|
|Evolution and challenges in trust and security in information system infrastructures||Varadharajan V.||SIN'09 - Proceedings of the 2nd International Conference on Security of Information and Networks||English||2009||In these uncertain economic times, two key ingredients which are in short supply are trust and confidence. The concept of trust has been around for many decades (if not for centuries) in different disciplines such as business, psychology, philosophy as well as in security technology. The current financial climate gives a particularly prescient example. As financial journalist Walter Bagehot wrote some 135 years ago, "after a great calamity, everybody is suspicious of everybody" and "credit, the disposition of one man to trust another, is singularly varying." The problem, as Bagehot observed it, was trust, or rather the lack of it, and it's as true today as it was in his time. Financial mechanisms aren't the only entities that must deal with trust-today's social networking communities such as Facebook, Wikipedia, and other online communities have to constantly reconcile trust issues, from searching and locating credible information, to conveying and protecting personal information. Furthermore with ever increasing reliance on digital economy, most business and government activities today depend on networked information systems for their operations. In this talk, we'll take a short journey through the concept and evolution of trust in the secure computing technology world, and examine some of the challenges involved in trusted computing today.||0||0|
|Implications of digital technologies for book publishing||Tian X.
Martin Prof. B.
|4th International Conference on Cooperation and Promotion of Information Resources in Science and Technology, COINFO 2009||English||2009||This paper is based on an Australian governmentfunded research project looking at the implications of digitization for the book publishing industry, which was completed in 2008. Although Australian-based, the project and subsequent research have wider implications for application elsewhere. The paper initially provides a snapshot of Australian book publishing in a global context, and then summarizes our findings on the current and potential future impact of digital technologies. The original research employed an interpretive research paradigm, using a mixed methodology design, including an online survey of book publishers and the conduct of 14 case studies. Since completion of the project, the pace of technology-related change in book publishing has been addressed in follow-up research, based on a global context. In reporting this new research, the paper discusses in detail the diverse range of technologies, their limitations and the risks and opportunities they offer to the book publishing industry. This includes insights into the business as well as technical issues confronting the industry.||0||0|
|Web 2.0 tools for engineers||Freschet L.||Designcon 2009||English||2009||New web-enabled tools and collaboration models (sometimes called Web2.0) centered on user-generated content seem to be everywhere and revolutionizing many consumer businesses. Examples such as Wikipedia, YouTube, Facebook, eBay, Amazon, Craigslist, and others have changed the way the world operates. But how are we Engineers using these tools? This paper will present a brief overview of some of the applications that are used, what seems to be working, and what we can look forward to in the future.||0||0|
|Social networking||Weaver A.C.
|Computer||English||2008||The mass adoption of social-networking websites points to an evolution in human social interaction.||0||0|
|The business of fun||Van Lent M.||Computer||English||2008||Videogames promote flash and features, but compelling gameplay wins the day.||0||0|
|Expanding communication mechanisms: They're not just E-mailing anymore||Murnan C.A.||Proceedings of the 34th Annual ACM SIGUCCS Fall 2006 Conference, SIGUCCS '06||English||2006||Students are walking around with cell phones, making calls and text-messaging. For many, this has now become their main communication mechanism with friends and family. College faculty and staff still count on e-mail as the main communication tool, amongst themselves and with students. Student demand for email accounts from new students before they even arrive on campus has increased exponentially in the past couple of years. Web pages are used to provide information to the outside community and internally, across campus. Web pages have often become the main mechanism for providing step-by-step documentation. Meanwhile, wikis, blogs and MySpace® have entered the online communication world. Students look at our web pages, but how often? They all have college-provided e-mail accounts, but do they use them? What is the best mechanism these days to get the word out, and what will be the mechanism in the future? This paper will explore the mechanisms and approaches that students, and others on campus, are using to communicate now, and will present thoughts on where we're going in the future and the impact that will have on user services. Copyright 2005 ACM.||0||0|