AINeutralarXiv – CS AI · 7h ago6/10
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Reasoning-Aware Multimodal Fusion for Hateful Video Detection
Researchers introduce RAMF (Reasoning-Aware Multimodal Fusion), a machine learning framework designed to detect hateful content in videos by combining visual, audio, and textual data with adversarial reasoning. The method achieves 3-7% performance improvements over existing approaches, addressing the challenge of identifying nuanced hate speech in increasingly complex online video content.