Propagation of trust and distrust
Proceedings of the 13th international conference on World Wide Web
A content-driven reputation system for the wikipedia
Proceedings of the 16th international conference on World Wide Web
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Predicting trusts among users of online communities: an epinions case study
Proceedings of the 9th ACM conference on Electronic commerce
Network analysis of collaboration structure in Wikipedia
Proceedings of the 18th international conference on World wide web
Modeling user reputation in wikis
Statistical Analysis and Data Mining
Signed networks in social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting positive and negative links in online social networks
Proceedings of the 19th international conference on World wide web
Assigning trust to Wikipedia content
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
Collective memory building in Wikipedia: the case of North African uprisings
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Towards a version control model with uncertain data
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
Leveraging editor collaboration patterns in wikipedia
Proceedings of the 23rd ACM conference on Hypertext and social media
Predictive non-equilibrium social science
Proceedings of the Winter Simulation Conference
Uncertain version control in open collaborative editing of tree-structured documents
Proceedings of the 2013 ACM symposium on Document engineering
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We present in this paper results on inferring a signed network (a "web of trust") from interactions on user-generated content in Wikipedia. From a collection of articles in the politics domain and their revision history, we investigate mechanisms by which relationships between Wikipedia contributors - in the form of signed directed links - can be inferred based their interactions. Our study sheds light into principles underlying a signed network that is captured by social interaction. We look into whether this network over Wikipedia contributors represents indeed a plausible configuration of link signs. We assess connections to social theories such as structural balance and status, which have already been considered in online communities. We also evaluate on this network the accuracy of a learned predictor for edge signs. Equipped with learning techniques that have been applied in recent literature on explicit signed networks, we obtain good predictive accuracy. Moreover, by cross training-testing we obtain strong evidence that our network does reveal an implicit signed configuration and that it has similar characteristics to the explicit ones, even though it is inferred from interactions. We also report on an application of the resulting signed network that impacts Wikipedia readers, namely the classification of Wikipedia articles by importance and quality.