Cross-language learning from bots and users to detect vandalism on Wikipedia
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]
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Knowledge and Data Engineering|
|Tran K N & Christen P Cross language learning 2015.pdf||332.23 kB||Adobe PDF|
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