Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks

The rapid development of the Internet of Vehicles has substantially boosted the prevalence of vehicular social networks (VSN). However, content security has gradually been a latent threat to the stable operation of VSN. The VSN is a time-varying environment and mixed with various real or fake conten...

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Veröffentlicht in:	IEEE Transactions on Intelligent Transportation Systems Jg. 24; H. 12; S. 15486 - 15498
Hauptverfasser:	Guo, Zhiwei, Yu, Keping, Jolfaei, Alireza, Li, Gang, Ding, Feng, Beheshti, Amin
Format:	Journal Article
Sprache:	Englisch Japanisch
Veröffentlicht:	New York IEEE 01.12.2023 Institute of Electrical and Electronics Engineers (IEEE) The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Convolutional neural networks Encoding Fake content detection Fake news Graph neural networks Internet of Vehicles Neural networks Recurrent neural networks Semantics Social networking (online) Social networks sustainable solutions vehicular social networks
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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