RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media

Abstract The earliest detection of rumors across social media is the need to the hour in present global village. User’s are seamlessly connected in an unstructured network leading to rapid flow of information. User’s on the social media with malign intents may share defamatory content to contribute...

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Detalles Bibliográficos

Principais autores:	Zafran Khan, Jeonghwan Gwak, Naima Iltaf, Witold Pedrycz, Moongu Jeon
Formato:	Artigo
Idioma:	Inglês
Publicado:	SpringerOpen 2024-01-01
Series:	Journal of Big Data
Assuntos:	Social media analytic Rumor detection Conversation reciprocal perspective Graph convolutional network
Acceso en liña:	https://doi.org/10.1186/s40537-023-00866-6
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