4 papers
IDO: Incongruity-aware Distribution Optimization for Multimodal Fake News Detection
Hengyang Zhou, Rongman Hong, Yuxuan Zhou +2
Multimodal fake news detection aims to identify the authenticity of news. Existing multimodal fake news detection methods mainly focus on cross-modal consistency, but often fail to…
Beyond Isolated Utterances: Cue-Guided Interaction for Context-Dependent Conversational Multimodal Understanding
Zhaoyan Pan, Hengyang Zhou, Xiangdong Li +5
Conversational multimodal understanding aims to infer the meaning or label of the current utterance from its preceding dialogue context together with textual, acoustic, and visual…
DIVER: Dynamic Iterative Visual Evidence Reasoning for Multimodal Fake News Detection
Weilin Zhou, Zonghao Ying, Chunlei Meng +6
Multimodal fake news detection is crucial for mitigating adversarial misinformation. Existing methods, relying on static fusion or LLMs, face computational redundancy and hallucina…
Towards Robust and Realible Multimodal Misinformation Recognition with Incomplete Modality
Hengyang Zhou, Yiwei Wei, Jian Yang +1
Multimodal Misinformation Recognition has become an urgent task with the emergence of huge multimodal fake content on social media platforms. Previous studies mainly focus on compl…