5 papers
Reasoning-Aware Multimodal Fusion for Hateful Video Detection
Shuonan Yang, Tailin Chen, Jiangbei Yue +3
Hate speech in online videos is posing an increasingly serious threat to digital platforms, especially as video content becomes increasingly multimodal and context-dependent. Exist…
Towards Training-free Multimodal Hate Localisation with Large Language Models
Yueming Sun, Long Yang, Jianbo Jiao +1
The proliferation of hateful content in online videos poses severe threats to individual well-being and societal harmony. However, existing solutions for video hate detection eithe…
MultiHateLoc: Towards Temporal Localisation of Multimodal Hate Content in Online Videos
Qiyue Sun, Tailin Chen, Yinghui Zhang +4
The rapid growth of video content on platforms such as TikTok and YouTube has intensified the spread of multimodal hate speech, where harmful cues emerge subtly and asynchronously…
Multimodal Hate Detection Using Dual-Stream Graph Neural Networks
Jiangbei Yue, Shuonan Yang, Tailin Chen +2
Hateful videos present serious risks to online safety and real-world well-being, necessitating effective detection methods. Although multimodal classification approaches integratin…
Revealing Temporal Label Noise in Multimodal Hateful Video Classification
Shuonan Yang, Tailin Chen, Rahul Singh +3
The rapid proliferation of online multimedia content has intensified the spread of hate speech, presenting critical societal and regulatory challenges. While recent work has advanc…