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Us vs. them: understanding social dynamics in Wikipedia with revert graph visualizations
Abstract Wikipedia is a wiki-based encyclopedia thaWikipedia is a wiki-based encyclopedia that has become one of the most popular collaborative on-line knowledge systems. As in any large collaborative system, as Wikipedia has grown, conflicts and coordination costs have increased dramatically. Visual analytic tools provide a mechanism for addressing these issues by enabling users to more quickly and effectively make sense of the status of a collaborative environment. In this paper we describe a model for identifying patterns of conflicts in Wikipedia articles. The model relies on users’ editing history and the relationships between user edits, especially revisions that void previous edits, known as “reverts”. Based on this model, we constructed Revert Graph, a tool that visualizes the overall conflict patterns between groups of users. It enables visual analysis of opinion groups and rapid interactive exploration of those relationships via detail drilldowns. We present user patterns and case studies that show the effectiveness of these techniques, and discuss how they could generalize to other systems.ow they could generalize to other systems.
Added by wikilit team Yes  +
Collected data time dimension Longitudinal  +
Conclusion The rapid growth of Wikipedia presents a cThe rapid growth of Wikipedia presents a challenge for analysts to understand conflicts and other social dynamics. To address this challenge, we have been building a model of how conflicts occur in Wikipedia and how conflicts are resolved. We used this model to develop a visualization tool called Revert Graph to facilitate analysts to understand user conflicts and explore opinion groups revealed in the visualization. We also demonstrate the effectiveness of the tool by presenting interesting user patterns and case studies that we found in Wikipedia. The tool can answer questions such as the severity and form of the disagreement as well as the shape and size of opinion groups. The case study revealed conflict patterns such as the identification of (a) the formation of opinion groups, (b) patterns of mediation, (c) vandalism, and (d) major controversial users and topics. (d) major controversial users and topics.
Conference location Sacramento, CA, USA +
Data source Wikipedia pages  +
Dates 30-1 +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22Us%2Bvs.%2Bthem%3A%2Bunderstanding%2Bsocial%2Bdynamics%2Bin%2BWikipedia%2Bwith%2Brevert%2Bgraph%2Bvisualizations%22  +
Has author Bongwon Suh + , Ed H. Chi + , Bryan A. Pendleton + , Aniket Kittur +
Has domain Communications + , Information systems +
Has topic Vandalism + , Participation trends +
Month October-November  +
Peer reviewed Yes  +
Publication type Conference paper  +
Published in VAST 2007 +
Research design Content analysis  + , Statistical analysis  +
Research questions The contributions of this paper include: The contributions of this paper include: • the development of a user conflict model for wiki-style online knowledge repositories; • the creation of a visualization tool that enable analysts to understand and explore user conflicts and opinion groups; • the presentation of user patterns and case studies that show the effectiveness of these techniques.ow the effectiveness of these techniques.
Revid 11,015  +
Theories Undetermined?
Theory type Design and action  +
Title Us vs. them: understanding social dynamics in Wikipedia with revert graph visualizations
Unit of analysis Edit  +
Url http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4389010&tag=1  +
Wikipedia coverage Main topic  +
Wikipedia data extraction Dump  +
Wikipedia language English  +
Wikipedia page type History  +
Year 2007  +
Creation dateThis property is a special property in this wiki. 17 October 2012 15:41:25  +
Categories Vandalism  + , Participation trends  + , Communications  + , Information systems  + , Publications with missing comments  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:32:05  +
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