Detecting Hate Speech on Brazilian Social Media: New Dataset and Analysis

Resumo

Social media plays a crucial role in human interaction, facilitating communication and self-expression. However, the proliferation of hate speech on these platforms poses significant risks to individuals and communities. Detecting and addressing hate speech is particularly challenging in languages like Portuguese due to its rich vocabulary, complex grammar, and regional variations. To address this challenge, we introduce TuPy-E, the largest annotated Portuguese corpus dedicated to hate speech detection. Through a comprehensive analysis utilizing advanced techniques such as BERT and GPT-2 models, our research contributes to both academic understanding and practical applications in this field.