Unimodal detection results.

<div><p>The widespread disinformation on social media platforms has created significant challenges in verifying the authenticity of content, especially in multimodal contexts. However, simple modality fusion can introduce much noise due to the differences in feature representations among...

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Bibliographic Details
Main Author:	Guangyu Mu (762845) (author)
Other Authors:	Chuanzhi Chen (11492671) (author), Xiurong Li (812565) (author), Ying Chen (9697) (author), Jiaxiu Dai (21192737) (author), Jiaxue Li (11924888) (author)
Published:	2025
Subjects:	Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified preserving essential features performing baseline models minimizing redundant noise facilitate deep interaction created significant challenges authoritative news sources social media platforms experimental results demonstrate comprehensive multimodal dataset model &# 8217 simple modality fusion modality fusion module contrastive learning strategy claaf model achieves modality fusion contrastive learning multimodal contexts detection results checking platforms xlink "> widespread disinformation web crawling ultimately impacting solid foundation paper proposes observably advancing multiple fact align text adaptive agg
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Unimodal detection results.

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