identified replaced their occurrence in Hate class via [1]: ◦ POS tags to reduce dependency on explicit terms (Black -> <NOUN>) ◦ Parent in the hypernym-tree (Black -> Color) ◦ k-Nearest neighbour in a word embedding [1]: Badjatiya et al., Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations [2]: Waseem & hovy, Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter [3]: Garg et al., Handling Bias in Toxic Speech Detection: A Survey, ACM CSUR Drawback of the study: Post substitution of BSW, the the original BSW is employed to evaluate reduction in bias with no discussion on evaluating the bias on the newly replaced terms. [1] Fig 1: Reproduced results [3] on WordNet replacement [1] for Waseem& Hovy dataset [2]