DC-CNN: Dual-channel Convolutional Neural Networks with attention-pooling for fake news detection.

Ma, Kun; Tang, Changhao; Zhang, Weijuan; Cui, Benkuan; Ji, Ke; Chen, Zhenxiang; Abraham, Ajith

Ma, Kun; Tang, Changhao; Zhang, Weijuan; Cui, Benkuan; Ji, Ke; Chen, Zhenxiang; Abraham, Ajith.

Afiliação

Ma K; Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, 250022 China.
Tang C; Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, 250022 China.
Zhang W; Department of Computer and Software Engineering, Shandong College of Electronic Technology, Jinan, 250200 China.
Cui B; Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, 250022 China.
Ji K; Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, 250022 China.
Chen Z; Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, 250022 China.
Abraham A; Machine Intelligence Research Labs, Scientific Network for Innovation and Research Excellence, Auburn, WA USA.

Appl Intell (Dordr) ; 53(7): 8354-8369, 2023.

Article em En | MEDLINE | ID: mdl-35937201

Palavras-chave

COVID-19; Convolutional neural network; Fake news; Noisy data

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Appl Intell (Dordr) Ano de publicação: 2023 Tipo de documento: Article