HIGHLIGHTS
SUMMARY
In this 1 2 http://www.thetrudz.com/. https://www.crunkfeministcollective.com/. extended work, the authors examine and analyse existing methods for automatically detecting hate speech and toxic language and their efficacy in detecting misogynoir. This study aims to: (i) Examine the performance of existing hate speech detection systems in detecting content that can be categorised as misogynoir and_(ii) Investigate potential reasons for their performance and opportunities for improvement. Tweets such as "how is that racist" and "racist detected" are classified as misogynoir with a sonar_confidence of 62 . . .
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