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How Good Is ChatGPT For Detecting Hate Speech In Portuguese?

Amanda Szekir de Oliveira, Thiago C. Cecote, Pedro Silva, Jadson Castro Gertrudes, Vander L. S. Freitas, Eduardo Luz

202318 citationsDOIOpen Access PDF

Abstract

This study evaluates OpenAI’s ChatGPT, a large language model, for its efficacy in detecting hate speech in Portuguese tweets, comparing it with purpose-trained models. Despite incurring considerable computational costs, ChatGPT as a zero-shot classifier demonstrated commendable performance, even superior to or on par with state-of-the-art methods, with an F1-score of 73.0% on the ToLD-BR. In a cross-dataset evaluation on the HLPHSP dataset, it secured a superior F1-score of 73%. The choice of prompt significantly impacts the outcome, with a wider scope prompt balancing precision and recall metrics. ChatGPT, due to its interpretability and resilience against data distribution shifts, could be a preferred choice for tasks prioritizing these factors.

Topics & Concepts

InterpretabilityComputer scienceArtificial intelligenceClassifier (UML)Machine learningLanguage modelRecallPortugueseBrazilian PortugueseTraining setOutcome (game theory)Natural language processingPsychologyLinguisticsCognitive psychologyMathematicsPhilosophyMathematical economicsHate Speech and Cyberbullying DetectionText Readability and SimplificationNatural Language Processing Techniques
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