Automated Hate Speech Detection and the Problem of Offensive Language

Thomas Davidson
Thomas Davidson
Dana Warmsley
Dana Warmsley

ICWSM, 2017.

Cited by: 531|Bibtex|Views58
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

A key challenge for automatic hate-speech detection on social media is the separation of hate speech from other instances of offensive language. Lexical detection methods tend to have low precision because they classify all messages containing particular terms as hate speech and previous work using supervised learning has failed to distin...More

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