Abusive Language Detection in Online User Content

@inproceedings{Nobata2016AbusiveLD,
  title={Abusive Language Detection in Online User Content},
  author={Chikashi Nobata and Joel R. Tetreault and Achint Oommen Thomas and Yashar Mehdad and Yi Chang},
  booktitle={WWW},
  year={2016}
}
Detection of abusive language in user generated online content has become an issue of increasing importance in recent years. Most current commercial methods make use of blacklists and regular expressions, however these measures fall short when contending with more subtle, less ham-fisted examples of hate speech. In this work, we develop a machine learning based method to detect hate speech on online user comments from two domains which outperforms a state-ofthe-art deep learning approach. We… CONTINUE READING
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