| Mass collaboration|
(Alternative names for this keyword)
|Related keyword(s)||Online collaboration|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of keywords|
Mass collaboration is included as keyword or extra keyword in 0 datasets, 0 tools and 14 publications.
There is no datasets for this keyword.
There is no tools for this keyword.
|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Explaining authors' contribution to pivotal artifacts during mass collaboration in the Wikipedia's knowledge base||Iassen Halatchliyski
|International Journal of Computer-Supported Collaborative Learning||English||2014||This article discusses the relevance of large-scale mass collaboration for computer-supported collaborative learning (CSCL) research, adhering to a theoretical perspective that views collective knowledge both as substance and as participatory activity. In an empirical study using the German Wikipedia as a data source, we explored collective knowledge as manifested in the structure of artifacts that were created through the collaborative activity of authors with different levels of contribution experience. Wikipedia's interconnected articles were considered at the macro level as a network and analyzed using a network analysis approach. The focus of this investigation was the relation between the authors' experience and their contribution to two types of articles: central pivotal articles within the artifact network of a single knowledge domain and boundary-crossing pivotal articles within the artifact network of two adjacent knowledge domains. Both types of pivotal articles were identified by measuring the network position of artifacts based on network analysis indices of topological centrality. The results showed that authors with specialized contribution experience in one domain predominantly contributed to central pivotal articles within that domain. Authors with generalized contribution experience in two domains predominantly contributed to boundary-crossing pivotal articles between the knowledge domains. Moreover, article experience (i.e., the number of articles in both domains an author had contributed to) was positively related to the contribution to both types of pivotal articles, regardless of whether an author had specialized or generalized domain experience. We discuss the implications of our findings for future studies in the field of CSCL. © 2013 International Society of the Learning Sciences, Inc. and Springer Science+Business Media New York.||0||0|
|Exploring online social behavior in crowdsourcing communities: A relationship management perspective||Shen X.-L.
|Computers in Human Behavior||English||2014||With the popularity of social media, crowdsourcing innovation provides new ways to generate original and useful content. It offers a unique opportunity for online crowds to communicate and collaborate on a variety of topics of mutual interest. This study presents an initial attempt to explore and understand online social behavior in crowdsourcing communities, with the insights from both plural subject theory and commitment-trust theory. In particular, two different types of collective intention (i.e., we-mode collective intention, which refers to acting as a group member, and I-mode collective intention, which refers to acting interdependently to contribute to the group goal) were proposed. The research model was empirically examined with longitudinal data collected from 202 wiki users. Findings indicated that, although both I-mode and we-mode collective intentions significantly predicted online social behavior in wiki communities, we-mode collective intention exerted a greater effect on users' behavior. In addition, relationship-orientated factors (e.g., trust and commitment) only affected we-mode, instead of I-mode, collective intention. This study finally yields several implications for both research and practice. © 2014 Elsevier Ltd. All rights reserved.||0||0|
|Keeping eyes on the prize: Officially sanctioned rule breaking in mass collaboration systems||Elisabeth Joyce
|English||2013||Mass collaboration systems are often characterized as unstructured organizations lacking rule and order. However, examination of Wikipedia reveals that it contains a complex policy and rule structure that supports the organization. Bureaucratic organizations adopt workarounds to adjust rules more accurately to the context of use. Rather than resorting to these potentially dangerous exceptions, Wikipedia has created officially sanctioned rule breaking. The use and impact of the official rule breaking policy within Wikipedia is examined to test its impact on the outcomes of requests to delete articles in from the encyclopedia. The results demonstrate that officially sanctioned rule breaking and the Ignore all rules (IAR) policy are meaningful influences on deliberation outcomes, and rather than wreaking havoc, the IAR policy in Wikipedia has been adopted as a positive, functional governance mechanism. Copyright 2013 ACM.||0||0|
|Rules and Roles vs. Consensus: Self-Governed Deliberative Mass Collaboration Bureaucracies||Elisabeth Joyce
|American Behavioral Scientist||English||2013||Deliberative mass collaboration systems, such as Wikipedia, are characterized as undisciplined, unstructured social spaces where individuals participate in collective action. However, examination of Wikipedia reveals that it contains a bureaucratic structure, which ensures that collective goals are primary drivers of that collective action. To support large-scale activity, deliberative mass collaboration systems must provide ways of reconciling the tension between individual agency and collective goals. Wikipedia's unusual policy, ignore all rules (IAR), serves as this tension release mechanism. IAR supports individual agency when positions taken by participants might conflict with those reflected in established rules. Hypotheses are tested with Wikipedia data regarding individual agency, bureaucratic processes, and IAR invocation during the content exclusion process. Findings indicate that in Wikipedia each utterance matters in deliberations, rules matter in deliberations, and IAR citation magnifies individual influence but also reinforces bureaucracy.||0||0|
|Temporal analysis of activity patterns of editors in collaborative mapping project of openstreetmap||Taha Yasseri
|Proceedings of the 9th International Symposium on Open Collaboration, WikiSym + OpenSym 2013||English||2013||In the recent yearsWikis have become an attractive platform for social studies of the human behaviour. Containing mil- lions records of edits across the globe, collaborative systems such as Wikipedia have allowed researchers to gain a bet- Ter understanding of editors participation and their activity patterns. However, contributions made to Geo-wikis wiki- based collaborative mapping projects dier from systems such as Wikipedia in a fundamental way due to spatial di- mension of the content that limits the contributors to a set of those who posses local knowledge about a specic area and therefore cross-platform studies and comparisons are required to build a comprehensive image of online open col- laboration phenomena. In this work, we study the temporal behavioural pattern of OpenStreetMap editors, a successful example of geo-wiki, for two European capital cities. We categorise dierent type of temporal patterns and report on the historical trend within a period of 7 years of the project age. We also draw a comparison with the previously ob- served editing activity patterns of Wikipedia. Categories and Subject Descriptors H.2.8 [Database Management]: Database Applications Spatial Databases and GIS; H.5.3 [Group and Orga- nization Interfaces]: Collaborative computing, computer- supported cooperative work General Terms Human Factors, Measurement. Copyright 2010 ACM.||0||0|
|The role of conflict in determining consensus on quality in wikipedia articles||Osman K.||Proceedings of the 9th International Symposium on Open Collaboration, WikiSym + OpenSym 2013||English||2013||This paper presents research that investigated the role of conflict in the editorial process of the online encyclopedia, Wikipedia. The study used a grounded approach to analyzing 147 conversations about quality from the archived history of the Wikipedia article Australia. It found that conflict in Wikipedia is a generative friction, regulated by references to policy as part of a coordinated effort within the community to improve the quality of articles. Categories and Subject Descriptors K.4.3 [Computers and society]: Organizational Impacts - Computer-supported collaborative work. General Terms Human Factors, Theory. Copyright 2010 ACM.||0||0|
|Network positions and contributions to online public goods: The case of Chinese wikipedia||Zhang X.M.
|Journal of Management Information Systems||English||2012||We study the effect of collaboration network structure on the contribution behavior of participating editors in Wikipedia. Collaboration in Wikipedia is organized around articles, and any two editors co-editing an article have a collaborative relationship. Based on the economic theories about network games and social role theory, we propose that an editor's position in the collaboration network influences the editor's decisions about her total contribution as well as the allocation of her efforts. By leveraging panel data collected from the Chinese language version of Wikipedia and a natural experiment resulting from blocking it in mainland China, we find strong support for the proposed effect of network position on contribution behavior. Our analysis further reveals that different aspects of an individual's network position have distinct implications. This research enhances our understanding about how collaboration network structure shapes individual behavior in online mass collaboration platforms. © 2012 M.E. Sharpe, Inc. All rights reserved.||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|
|Wikipedia revision graph extraction based on n-gram cover||Wu J.
|Lecture Notes in Computer Science||English||2012||During the past decade, mass collaboration systems have emerged and thrived on the World-Wide Web, with numerous user contents generated. As one of such systems, Wikipedia allows users to add and edit articles in this encyclopedic knowledge base and piles of revisions have been contributed. Wikipedia maintains a linear record of edit history with timestamp for each article, which includes precious information on how each article has evolved. However, meaningful revision evolution features like branching and revert are implicit and needed to be reconstructed. Also, existence of merges from multiple ancestors indicates that the edit history shall be modeled as a directed acyclic graph. To address these issues, we propose a revision graph extraction method based on n-gram cover that effectively find branching and revert. We evaluate the accuracy of our method by comparing with manually constructed revision graphs.||0||0|
|A framework for personalized and collaborative clustering of search results||Anastasiu D.C.
|International Conference on Information and Knowledge Management, Proceedings||English||2011||How to organize and present search results plays a critical role in the utility of search engines. Due to the unprecedented scale of the Web and diversity of search results, the common strategy of ranked lists has become increasingly inadequate, and clustering has been considered as a promising alternative. Clustering divides a long list of disparate search results into a few topic-coherent clusters, allowing the user to quickly locate relevant results by topic navigation. While many clustering algorithms have been proposed that innovate on the automatic clustering procedure, we introduce ClusteringWiki, the first prototype and framework for personalized clustering that allows direct user editing of the clustering results. Through a Wiki interface, the user can edit and annotate the membership, structure and labels of clusters for a personalized presentation. In addition, the edits and annotations can be shared among users as a mass-collaborative way of improving search result organization and search engine utility.||0||0|
|ClusteringWiki: Personalized and collaborative clustering of search results||Anastasiu D.C.
|SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval||English||2011||How to organize and present search results plays a critical role in the utility of search engines. Due to the unprecedented scale of the Web and diversity of search results, the common strategy of ranked lists has become increasingly inadequate, and clustering has been considered as a promising alternative. Clustering divides a long list of disparate search results into a few topic-coherent clusters, allowing the user to quickly locate relevant results by topic navigation. While many clustering algorithms have been proposed that innovate on the automatic clustering procedure, we introduce ClusteringWiki, the first prototype and framework for personalized clustering that allows direct user editing of clustering results. Through a Wiki interface, the user can edit and annotate the membership, structure and labels of clusters for a personalized presentation. In addition, the edits and annotations can be shared among users as a mass collaborative way of improving search result organization and search engine utility.||0||0|
|Measuring the development of wikipedia||He Z.||2011 International Conference on Internet Technology and Applications, iTAP 2011 - Proceedings||English||2011||The paper summarizes the developing trend of Wikipedia which is one of important Internet application using current revision data set. It models the process of mass collaboration in Wikipedia using power distribution, namely Pareto distribution. This model suggests that the majority of edits in Wikipedia is contributed by a small group of people, while most participants in Wikipedia only give minor contributions. Additionally, we use maximum likelihood to formulate an equation to predict future development trend of Wikipedia.||0||0|
|Modeling the effect of product architecture on mass collaborative processes - An agent-based approach||Le Q.
|Proceedings of the ASME Design Engineering Technical Conference||English||2009||Traditional product development efforts are based on well-structured and hierarchical product development teams. The products are systematically decomposed into subsystems that are designed by dedicated teams with well-defined information flows. Recently, a new product development approach called Mass Collaborative Product Development (MCPD) has emerged. The fundamental difference between a traditional product development process and a MCPD process is that the former is based on top-down decomposition while the latter is based on evolution and self-organization. The paradigm of MCPD has resulted in highly successful products such as Wikipedia, Linux and Apache. Despite the success of various projects using MCPD, it is not well understood how the product architecture affects the evolution of products developed using such processes. To address this gap, an agent-based model to study MCPD processes is presented in this paper. Through this model, the effect of product architectures on the product evolution is studied. The model is executed for different architectures ranging from slot architecture to bus architecture and the rates of product evolution are determined. The simulation-based approach allows us to study how the degree of modularity of products affects the evolution time of products and different modules in the MCPD processes. The methodology is demonstrated using an illustrative example of mobile phones. This approach provides a simple and intuitive way to study the effects of product architecture on the MCPD processes. It is helpful in determining the best strategies for product decomposition and identifying the product architectures that are suitable for the MCPD processes.||0||0|
|Product realization in the age of mass collaboration||Panchal J.H.
|Proceedings of the ASME Design Engineering Technical Conference||English||2008||There has been a recent emergence of communities working together in large numbers to develop new products, services, and systems. Collaboration at such scales, referred to as mass collaboration, has resulted in various robust products including Linux and Wikipedia. Companies are also beginning to utilize the power of mass collaboration to foster innovation at various levels. Business models based on mass collaboration are also emerging. Such an environment of mass collaboration brings about significant opportunities and challenges for designing next generation products. The objectives in this paper are to discuss these recent developments in the context of engineering design and to identify new research challenges. The recent trends in mass collaboration are discussed and the impacts of these trends on product realization processes are presented. Traditional collaborative product realization is distinguished from mass collaborative product realization. Finally, the open research issues for successful implementation of mass collaborative product realization are discussed. Copyright||0||0|