Exploring Large Language Models for Hate Speech Detection in Rioplatense Spanish
Juan Manuel Pérez, Paula Miguel, Viviana Cotik · 2025
Hate speech detection deals with many language variants, slang, slurs, expression modalities, and cultural nuances.This outlines the importance of working with specific corpora, when addressing hate speech within the scope of Natural Language Processing, recently revolutionized by the irruption of Large Language Models.This work presents a brief analysis of the performance of large language models in the detection of Hate Speech for Rioplatense Spanish.We performed classification experiments leveraging chain-of-thought reasoning with ChatGPT 3.5, Mixtral, and Aya, comparing their results with those of a state-of-the-art BERT classifier.These experiments show that, even if LLMs show a lower precision compared to the fine-tuned BERT classifier and, in some cases, they find hard-to-get slurs or colloquialisms, they still are sensitive to highly nuanced cases (particularly, homophobic/transphobic hate speech) that BERT models cannot grasp.