Developing Hate Speech Detector for Afan Oromo Content on Social Media Platforms Using Deep Neural Networks
This paper presents a deep learning-based hate speech detection system for the low-resource Afan Oromo language using XLM-RoBERTa and Afro-XLMR models, demonstrating that the fine-tuned XLM-RoBERTa achieves superior performance with 95.3% F1 score and 95.8% accuracy on a dataset of 22,000 social media samples to enhance online safety and social cohesion in Ethiopia.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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