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Cross Language Prediction of Vandalism on Wikipedia Using Article Views and Revisions

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Tran, Khoi-Nguyen
Christen, Peter

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Springer

Abstract

Vandalism is a major issue on Wikipedia, accounting for about 2% (350,000+) of edits in the first 5 months of 2012. The majority of vandalism are caused by humans, who can leave traces of their malicious behaviour through access and edit logs. We propose

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Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2013 Workshops

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Restricted until

2037-12-31