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Fact or Fake? Assessing the Role of Deepfake Detectors in Multimodal Misinformation Detection

In multimodal misinformation, deception usually arises not just from pixel-level manipulations in an image, but from the semantic and contextual claim jointly expressed by the image–text pair. Yet most deepfake detectors, engineered to detect pixel-level forgeries, do not account for claim-le...

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Principais autores: A. S. M. Sharifuzzaman SAGAR, Mohammed Bennamoun, Farid Boussaid, Naeha Sharif, Lian Xu, Shaaban Sahmoud, Ali Kishk
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2026-01-01
Serier:IEEE Access
Fag:
Deepfake detection
fact-checking
large language models
multimodal misinformation
Online adgang:https://ieeexplore.ieee.org/document/11493433/
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