Providing cross-lingual editing assistance to Wikipedia editors
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part II
Statistical measure of quality in Wikipedia
Proceedings of the First Workshop on Social Media Analytics
Building a signed network from interactions in Wikipedia
Databases and Social Networks
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Exploring wiki: measuring the quality of social media using ant colony metaphor
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Leveraging editor collaboration patterns in wikipedia
Proceedings of the 23rd ACM conference on Hypertext and social media
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Collaborative systems available on the Web allow millions of users to share information through a growing collection of tools and platforms such as wikis, blogs, and shared forums. By their very nature, these systems contain resources and information with different quality levels. The open nature of these systems, however, makes it difficult for users to determine the quality of the available information and the reputation of its providers. Here, we first parse and mine the entire English Wikipedia history pages in order to extract detailed user edit patterns and statistics. We then use these patterns and statistics to derive three computational models of a user's reputation. Finally, we validate these models using ground-truth Wikipedia data associated with vandals and administrators. When used as a classifier, the best model produces an area under the receiver operating characteristic (ROC) curve (AUC) of 0.98. Furthermore, we assess the reputation predictions generated by the models on other users, and show that all three models can be used efficiently for predicting user behavior in Wikipedia. Copyright © 2010 Wiley Periodicals, Inc. Statistical Analysis and Data Mining 3: 126-139, 2010