Wikipedia Vandal Early Detection: from User Behavior to User Embedding

@inproceedings{Yuan2017WikipediaVE,
  title={Wikipedia Vandal Early Detection: from User Behavior to User Embedding},
  author={Shuhan Yuan and Panpan Zheng and Xintao Wu and Yang Xiang},
  booktitle={ECML/PKDD},
  year={2017}
}
Wikipedia is the largest online encyclopedia that allows anyone to edit articles. In this paper, we propose the use of deep learning to detect vandals based on their edit history. In particular, we develop a multi-source long-short term memory network (M-LSTM) to model user behaviors by using a variety of user edit aspects as inputs, including the history of edit reversion information, edit page titles and categories. With M-LSTM, we can encode each user into a low dimensional real vector… CONTINUE READING
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