One-class learning for fake news detection through multimodal variational autoencoders

Machine learning methods to detect fake news typically use textual features and Binary or Multi-class classification. However, accurately labeling a large news set is still a very costly process. On the other hand, one of the prominent approaches is One-Class Learning (OCL). OCL requires only the la...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 122; S. 106088
Hauptverfasser:	Gôlo, Marcos Paulo Silva, de Souza, Mariana Caravanti, Rossi, Rafael Geraldeli, Rezende, Solange Oliveira, Nogueira, Bruno Magalhães, Marcacini, Ricardo Marcondes
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2023
Schlagworte:	Fake news classification Multimodal representation learning Multimodal variational autoencoder One-class classification One-class fake news classification Fake news classification Multimodal representation learning One-class fake news classification Multimodal variational autoencoder One-class classification
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
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