A case-driven system uses vision transformers to detect hate and threats by routing analysis to text, multimodal fusion, or image-only paths depending on the available evidence type.
Deep learning for digital forensics: A survey
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Detection of Hate and Threat in Digital Forensics: A Case-Driven Multimodal Approach
A case-driven system uses vision transformers to detect hate and threats by routing analysis to text, multimodal fusion, or image-only paths depending on the available evidence type.