Abusive Language Detection in Online User Content

WWW, pp. 145-153, 2016.

Cited by: 434|Bibtex|Views161|Links
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Abstract:

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...More

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