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Analyzing the creative editing behavior of wikipedia editors through dynamic social network analysis
Abstract This paper analyzes editing patterns of WiThis paper analyzes editing patterns of Wikipedia contributors using dynamic social network analysis. We have developed a tool that converts the edit flow among contributors into a temporal social network. We are using this approach to identify the most creative Wikipedia editors among the few thousand contributors who make most of the edits amid the millions of active Wikipedia editors. In particular, we identify the key category of "coolfarmers", the prolific authors starting and building new articles of high quality. Towards this goal we analyzed the 2580 featured articles of the English Wikipedia where we found two main article types: (1) articles of narrow focus created by a few subject matter experts, and (2) articles about a broad topic created by thousands of interested incidental editors. We then investigated the authoring process of articles about a current and controversial event. There we found two types of editors with different editing patterns: the mediators, trying to reconcile the different viewpoints of editors, and the zealots, who are adding fuel to heated discussions on controversial topics. As a second category of editors we look at the "egoboosters", people who use Wikipedia mostly to showcase themselves. Understanding these different patterns of behavior gives important insights about the cultural norms of online creators. In addition, identifying and policing egoboosters has the potential to increase the quality of Wikipedia. People best suited to enforce culture-compliant behavior of egoboosters through exemplary behavior and active intervention are the highly regarded coolfarmers introduced above.hly regarded coolfarmers introduced above.
Abstractsub This paper analyzes editing patterns of WiThis paper analyzes editing patterns of Wikipedia contributors using dynamic social network analysis. We have developed a tool that converts the edit flow among contributors into a temporal social network. We are using this approach to identify the most creative Wikipedia editors among the few thousand contributors who make most of the edits amid the millions of active Wikipedia editors. In particular, we identify the key category of "coolfarmers", the prolific authors starting and building new articles of high quality. Towards this goal we analyzed the 2580 featured articles of the English Wikipedia where we found two main article types: (1) articles of narrow focus created by a few subject matter experts, and (2) articles about a broad topic created by thousands of interested incidental editors. We then investigated the authoring process of articles about a current and controversial event. There we found two types of editors with different editing patterns: the mediators, trying to reconcile the different viewpoints of editors, and the zealots, who are adding fuel to heated discussions on controversial topics. As a second category of editors we look at the "egoboosters", people who use Wikipedia mostly to showcase themselves. Understanding these different patterns of behavior gives important insights about the cultural norms of online creators. In addition, identifying and policing egoboosters has the potential to increase the quality of Wikipedia. People best suited to enforce culture-compliant behavior of egoboosters through exemplary behavior and active intervention are the highly regarded coolfarmers introduced above.hly regarded coolfarmers introduced above.
Bibtextype inproceedings  +
Doi 10.1016/j.sbspro.2010.04.054  +
Has author Takashi Iba + , Keiichi Nemoto + , Bernd Peters + , Gloor P.A. +
Has keyword Coolfarmer + , Dynamic Social Network Analysis + , Egoboosting + , Wikipedia +
Issn 18770428  +
Issue 4  +
Language English +
Number of citations by publication 2  +
Number of references by publication 0  +
Pages 6441–6456  +
Published in Procedia - Social and Behavioral Sciences +
Title Analyzing the creative editing behavior of wikipedia editors through dynamic social network analysis +
Type conference paper  +
Volume 2  +
Year 2010 +
Creation dateThis property is a special property in this wiki. 6 November 2014 16:57:51  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 16:57:51  +
DateThis property is a special property in this wiki. 2010  +
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Social networks of Wikipedia + , What We Know About Wikipedia: A Review of the Literature Analyzing the Project(s) + Has reference
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