Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection

arXiv:2403.08035v1 Announce Type: new
Abstract: Large language models (LLMs) excel in many diverse applications beyond language generation, e.g., translation, summarization, and sentiment analysis. One intriguing application is in text classification. This becomes pertinent in the realm of identifying hateful or toxic speech -- a domain fraught with challenges and ethical dilemmas. In our study, we have two objectives: firstly, to offer a literature review revolving around LLMs as classifiers, emphasizing their role in detecting and classifying hateful or toxic content. …

abstract analysis application applications artificial artificial intelligence arxiv beyond challenges classification cs.ai cs.cl detection diverse diverse applications excel hate speech hate speech detection intelligence language language generation language models large language large language models llms opportunities sentiment sentiment analysis speech summarization text text classification translation type