Tran, Khoi-Nguyen; Christen, Peter
Vandalism, the malicious modification of articles, is a serious problem for open access encyclopedias such as Wikipedia.
The use of counter-vandalism bots is changing the way Wikipedia identifies and bans vandals, but their contributions are often not
considered nor discussed. In this paper, we propose novel text features capturing the invariants of vandalism across five languages to
learn and compare the contributions of bots and users in the task of identifying vandalism. We construct...[Show more]
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