Short Comparative Analysis on Pretrained BART and RoBERTa in Detecting Hate Speech on YouTube and Reddit Platforms (WiNLP 2022 Poster Presentation)

Identification of hate speech (HS) on social media platforms has become a Sisyphean task with the increment of web data availability and the human knack for discovering loopholes in the existing HS detection algorithms. This study conducts a comparative analysis of the merits of using two transformer approaches for HS detection: BART and RoBERTa. By considering popular benchmark data sets, we show that the BART outperforms RoBERTa for the monolingual classification of both finding hate and non-hate as well as classifying hate speech into categories.