Multimodal Fake News Detection with Contrastive Learning and Optimal Transport

Multimodal Fake News Detection with Contrastive Learning and Optimal Transport

IntroductionThe proliferation of social media platforms has facilitated the spread of fake news, posing significant risks to public perception and societal stability. Existing methods for multimodal fake news detection have made important progress in combining textual and visual information but stil...

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Bibliographic Details
Main Authors: Xiaorong Shen, Maowei Huang, Zheng Hu, Shimin Cai, Tao Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Computer Science
Subjects:
fake news detection
multimodal data
cross-modal attention
contrastive learning
optimal transport
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2024.1473457/full
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