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Leveraging editor collaboration patterns in wikipedia
2012
Proceedings of the 23rd ACM conference on Hypertext and social media - HT '12
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
doi:10.1145/2309996.2310001
dblp:conf/ht/RadMRB12
fatcat:ns3usxwksffaxourkni3w4gf5u