Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales

arXiv:2403.12403v1 Announce Type: cross
Abstract: Although social media platforms are a prominent arena for users to engage in interpersonal discussions and express opinions, the facade and anonymity offered by social media may allow users to spew hate speech and offensive content. Given the massive scale of such platforms, there arises a need to automatically identify and flag instances of hate speech. Although several hate speech detection methods exist, most of these black-box methods are not interpretable or explainable by design. …

abstract anonymity arena arxiv cs.ai cs.cl cs.lg detection discussions express hate speech hate speech detection language language model large language large language model massive media opinions platforms scale social social media social media platforms speech type