Handling Bias in Toxic Speech Detection: A Survey. (arXiv:2202.00126v1 [cs.SI])

The massive growth of social media usage has witnessed a tsunami of online
toxicity in teams of hate speech, abusive posts, cyberbullying, etc. Detecting
online toxicity is challenging due to its inherent subjectivity. Factors such
as the context of the speech, geography, socio-political climate, and
background of the producers and consumers of the posts play a crucial role in
determining if the content can be flagged as toxic. Adoption of automated
toxicity detection models in production can lead to a …

arxiv bias detection speech survey toxic speech