Edit Wars in Wikipedia

@article{Sumi2011EditWI,
  title={Edit Wars in Wikipedia},
  author={R{\'o}bert Sumi and Taha Yasseri and Andr{\'a}s Rung and Andr{\'a}s Kornai and J{\'a}nos Kert{\'e}sz},
  journal={2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing},
  year={2011},
  pages={724-727}
}
  • R. Sumi, T. Yasseri, +2 authors J. Kertész
  • Published 19 July 2011
  • Computer Science, Mathematics, Physics
  • 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing
We present a new, efficient method for automatically detecting severe conflicts, `edit wars' in Wikipedia and evaluate this method on six different language Wikipedias. We discuss how the number of edits and reverts deviate in such pages from those following the general workflow, and argue that earlier work has significantly over-estimated the contentiousness of the Wikipedia editing process. 

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References

SHOWING 1-10 OF 20 REFERENCES
Characterization and prediction of Wikipedia edit wars
TLDR
How the number of edits, reverts, and the length of discussions deviate in such pages from those following the general work of the Wikipedias is discussed. Expand
Detecting Wikipedia Vandalism using WikiTrust - Lab Report for PAN at CLEF 2010
TLDR
A simple Web API is implemented that provides the vandalism estimate for every revision of the English Wikipedia, and can be used both to identify vandalism that needs to be reverted, and to select highquality, non-vandalized recent revisions of any given Wikipedia article. Expand
Detecting Wikipedia vandalism via spatio-temporal analysis of revision metadata?
TLDR
A classifier is produced which flags vandalism at performance comparable to the natural-language efforts the authors intend to complement, and has been used to locate over 5,000 manually-confirmed incidents of vandalism outside their labeled set. Expand
Network analysis of collaboration structure in Wikipedia
In this paper we give models and algorithms to describe and analyze the collaboration among authors of Wikipedia from a network analytical perspective. The edit network encodes who interacts how withExpand
He says, she says: conflict and coordination in Wikipedia
TLDR
The growth of non-direct work in Wikipedia is examined and the development of tools to characterize conflict and coordination costs in Wikipedia are described, which may inform the design of new collaborative knowledge systems. Expand
Us vs. Them: Understanding Social Dynamics in Wikipedia with Revert Graph Visualizations
TLDR
Revert Graph is constructed, a tool that visualizes the overall conflict patterns between groups of users and enables visual analysis of opinion groups and rapid interactive exploration of those relationships via detail drill- downs. Expand
Visual Analysis of Controversy in User-generated Encyclopedias
  • U. Brandes, J. Lerner
  • Computer Science
  • 2007 IEEE Symposium on Visual Analytics Science and Technology
  • 2007
TLDR
It is shown that a visual analysis of the "who revises whom"- network gives deep insight into controversies, and a set of analysis and visualization techniques are proposed that reveal the dominant authors of a page, the roles they play, and the alters they confront. Expand
Visual Analysis of Controversy in User-generated Encyclopedias
TLDR
It is shown that a visual analysis of the "who revises whom"- network gives deep insight into controversies, and a set of analysis and visualization techniques are proposed that reveal the dominant authors of a page, the roles they play, and the alters they confront. Expand
On ranking controversies in wikipedia: models and evaluation
TLDR
Three models are proposed to identify controversial articles in Wikipedia, namely the Basic model and two Controversy Rank (CR) models, which draw clues from collaboration and edit history instead of interpreting the actual articles or edited content. Expand
A Qualitative and Quantitative Analysis of How Wikipedia Talk Pages Are Used
To study coordination and decision-making in Wikipedia, we undertook a manual content analysis of 100 Talk pages and a quantitative analysis of 5000 Talk pages in five categories. Our manual analysisExpand
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...