• DOI:10.1145/2783258.2783367
Corpus ID: 2198041

VEWS: A Wikipedia Vandal Early Warning System

@article{Kumar2015VEWSAW,
  title={VEWS: A Wikipedia Vandal Early Warning System},
  author={Srijan Kumar and Francesca Spezzano and V. Subrahmanian},
  journal={Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  year={2015}
}

Srijan Kumar, Francesca Spezzano, V. Subrahmanian

Published 2015

Computer Science, Physics

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

We study the problem of detecting vandals on Wikipedia before any human or known vandalism detection system reports flagging potential vandals so that such users can be presented early to Wikipedia administrators. We leverage multiple classical ML approaches, but develop 3 novel sets of features. Our Wikipedia Vandal Behavior (WVB) approach uses a novel set of user editing patterns as features to classify some users as vandals. Our Wikipedia Transition Probability Matrix (WTPM) approach uses a… CONTINUE READING

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