• Corpus ID: 233365150

To Block or not to Block: Experiments with Machine Learning for News Comment Moderation

@inproceedings{Koreni2021ToBO,
  title={To Block or not to Block: Experiments with Machine Learning for News Comment Moderation},
  author={Damir Koren{\vc}i{\'c} and I. Baris Schlicht and Eugenia Fernandez and Katarina Leuschel and Eva Salido},
  booktitle={HACKASHOP},
  year={2021}
}
Today, news media organizations regularly engage with readers by enabling them to comment on news articles. This creates the need for comment moderation and removal of disallowed comments – a time-consuming task often performed by human moderators. In this paper we approach the problem of automatic news comment moderation as classification of comments into blocked and not blocked categories. We construct a novel dataset of annotated English comments, experiment with cross-lingual transfer of… 

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