Reasoning-Aware Multimodal Fusion for Hateful Video Detection

This article, sourced from ArXiv, likely details a research paper proposing a novel approach to detecting hateful content in videos. The focus on 'Reasoning-Aware Multimodal Fusion' suggests an innovative combination of different data modalities and reasoning capabilities for improved accuracy.

• •The research likely explores combining visual, audio, and textual information within videos to detect hate speech.
• •The 'reasoning-aware' aspect probably involves employing AI to understand the context and intent behind the video content.
• •The study could provide insights into creating more robust and accurate hate speech detection systems.