Leveraging editor collaboration patterns in wikipedia

Hoda Sepehri Rad, Aibek Makazhanov, Davood Rafiei, Denilson Barbosa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

Predicting the positive or negative attitude of individuals towards each other in a social environment has long been of interest, with applications in many domains. We investigate this problem in the context of the collaborative editing of articles in Wikipedia, showing that there is enough information in the edit history of the articles that can be utilized for predicting the attitude of co-editors. We train a model using a distant supervision approach, by labeling interactions between editors as positive or negative depending on how these editors vote for each other in Wikipedia admin elections. We use the model to predict the attitude among other editors, who have neither run nor voted in an election. We validate our model by assessing its accuracy in the tasks of predicting the results of the actual elections, and identifying controversial articles. Our analysis reveals that the interactions in co-editing articles can accurately predict votes, although there are differences between positive and negative votes. For instance, the accuracy when predicting negative votes substantially increases by considering longer traces of the edit history. As for predicting controversial articles, we show that exploiting positive and negative interactions during the production of an article provides substantial improvements on previous attempts at detecting controversial articles in Wikipedia.

Original languageEnglish
Title of host publicationHT'12 - Proceedings of 23rd ACM Conference on Hypertext and Social Media
Pages13-22
Number of pages10
DOIs
Publication statusPublished - 2012
Event23rd ACM Conference on Hypertext and Social Media, HT'12 - Milwaukee, WI, United States
Duration: Jun 25 2012Jun 28 2012

Publication series

NameHT'12 - Proceedings of 23rd ACM Conference on Hypertext and Social Media

Other

Other23rd ACM Conference on Hypertext and Social Media, HT'12
CountryUnited States
CityMilwaukee, WI
Period6/25/126/28/12

Keywords

  • Admin election
  • Controversial articles
  • Social interactions
  • Wikipedia

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Software

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