5 papers
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…
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…
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…