Detecting Anti-Semitic Hate Speech using Transformer-based Large Language Models

arXiv:2405.03794v1 Announce Type: new
Abstract: Academic researchers and social media entities grappling with the identification of hate speech face significant challenges, primarily due to the vast scale of data and the dynamic nature of hate speech. Given the ethical and practical limitations of large predictive models like ChatGPT in directly addressing such sensitive issues, our research has explored alternative advanced transformer-based and generative AI technologies since 2019. Specifically, we developed a new data labeling technique and established a proof of …

abstract academic arxiv challenges chatgpt cs.cl data dynamic ethical face hate speech identification language language models large language large language models limitations media nature practical predictive predictive models researchers scale social social media speech transformer type vast