Beyond Hate Speech: NLP's Challenges and Opportunities in Uncovering Dehumanizing Language

arXiv:2402.13818v1 Announce Type: new
Abstract: Dehumanization, characterized as a subtle yet harmful manifestation of hate speech, involves denying individuals of their human qualities and often results in violence against marginalized groups. Despite significant progress in Natural Language Processing across various domains, its application in detecting dehumanizing language is limited, largely due to the scarcity of publicly available annotated data for this domain. This paper evaluates the performance of cutting-edge NLP models, including GPT-4, GPT-3.5, and LLAMA-2, in identifying dehumanizing language. …

abstract application arxiv beyond challenges cs.cl domains hate speech human language language processing natural natural language natural language processing nlp opportunities processing progress speech type violence