Fusing non-textual cues with classical NLP for enhanced multimodal fake news spread detection

Abstract The increasing spread of misinformation on social platforms has made it necessary to develop automated and accurate fake news detection systems. Traditional methods that focus solely on textual content are ineffective in dealing with more complex fake news that mimic authentic writing style...

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Detalles Bibliográficos

Autores principales:	Jing Dang, Yichen Sun, Chengzhi Yu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2026-04-01
Colección:	Scientific Reports
Materias:	Fake news detection False information spread Social network analysis Multi-modal deep learning Multi-head self-attention
Acceso en línea:	https://doi.org/10.1038/s41598-026-45735-3
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