A Reference Dataset for Training Interventions in Online Hate Speech
DOI:
https://doi.org/10.48047/69w02y38Keywords:
.Abstract
Addressing online hate speech is a crucial but complex challenge, one that can be supported
through Natural Language Processing (NLP) techniques. While previous research has primarily
focused on developing NLP methods to automatically detect hate speech, it has largely overlooked
the need for proactive intervention to discourage future use. Additionally, most existing hate speech
datasets treat each post as an isolated instance, failing to consider the broader conversational
context. In this paper, we introduce a novel task: generative hate speech intervention.
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