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

Fake news detection mainly relies on the extraction of article content features with neural networks. However, it has brought some challenges to reduce the noisy data and redundant features, and learn the long-distance dependencies. To solve the above problems, Dual-channel Convolutional Neural Netw...

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Detalles Bibliográficos
Autores principales: Ma, Kun, Tang, Changhao, Zhang, Weijuan, Cui, Benkuan, Ji, Ke, Chen, Zhenxiang, Abraham, Ajith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340725/
https://www.ncbi.nlm.nih.gov/pubmed/35937201
http://dx.doi.org/10.1007/s10489-022-03910-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340725/
https://www.ncbi.nlm.nih.gov/pubmed/35937201
http://dx.doi.org/10.1007/s10489-022-03910-9

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