HateTinyLLM : Hate Speech Detection Using Tiny Large Language Models

arXiv:2405.01577v1 Announce Type: cross
Abstract: Hate speech encompasses verbal, written, or behavioral communication that targets derogatory or discriminatory language against individuals or groups based on sensitive characteristics. Automated hate speech detection plays a crucial role in curbing its propagation, especially across social media platforms. Various methods, including recent advancements in deep learning, have been devised to address this challenge. In this study, we introduce HateTinyLLM, a novel framework based on fine-tuned decoder-only tiny large language models (tinyLLMs) for efficient hate …

abstract arxiv automated communication cs.cl cs.lg detection hate speech hate speech detection language language models large language large language models media platforms propagation role social social media social media platforms speech targets type verbal