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A multi-modal approach for recognizing fake news and influential nodes in spreading them using deep learning and network analysis

Abstract Rumors may spread swiftly and cause a lot of harm on social media. Finding the main nodes that fuel rumor’s spread is necessary to lessen their impact. This study proposes a new technique that combines deep learning with graph-based clustering techniques to effectively detect rumor sources...

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Autores principales: Weiliang Zhang, Meina Qian, Qingfeng Zhang
Formato: Artigo
Lenguaje:Inglês
Publicado: Nature Portfolio 2026-02-01
Colección:Scientific Reports
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Acceso en línea:https://doi.org/10.1038/s41598-026-35342-7
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