articleJan 1, 2016GOLD OA

Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter

University of Copenhagen

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Abstract

Hate speech in the form of racist and sexist remarks are a common occurrence on social media. For that reason, many social media services address the problem of identifying hate speech, but the definition of hate speech varies markedly and is largely a manual effort. We provide a list of criteria founded in critical race theory, and use them to annotate a publicly available corpus of more than 16k tweets. We analyze the impact of various extra-linguistic features in conjunction with character n-grams for hate-speech detection. We also present a dictionary based the most indicative words in our data.

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Topics & keywords

Keywords
  • Computer science
  • Voice activity detection
  • Speech recognition
  • Natural language processing
  • Artificial intelligence
  • Speech processing
UN Sustainable Development Goals
  • Gender equality
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