Papers with general hate speech detection
ImpliHateVid: A Benchmark Dataset and Two-stage Contrastive Learning Framework for Implicit Hate Speech Detection in Videos (2025.acl-long)
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| Challenge: | Existing studies on text-based hate speech detection focus on video-based approaches . however, hateful content remains a persistent challenge due to the vast amount of data generated every day. |
| Approach: | They propose a novel two-stage contrastive learning framework for hate speech detection in videos . they train modality-specific encoders for audio, text, and image using contrastive loss . |
| Outcome: | The proposed framework is based on two datasets, ImpliHateVid and HateMM datasets. |