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
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2026-01-01
Series:	IEEE Access
Assuntos:	Deepfake detection fact-checking large language models multimodal misinformation
Acceso en liña:	https://ieeexplore.ieee.org/document/11493433/
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