EchoFakeD: improving fake news detection in social media with an efficient deep neural network

The increasing popularity of social media platforms has simplified the sharing of news articles that have led to the explosion in fake news. With the emergence of fake news at a very rapid rate, a serious concern has produced in our society because of enormous fake content dissemination. The quality...

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Veröffentlicht in:	Neural computing & applications Jg. 33; H. 14; S. 8597 - 8613
Hauptverfasser:	Kaliyar, Rohit Kumar, Goswami, Anurag, Narang, Pratik
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.07.2021 Springer Nature B.V
Schlagworte:	Artificial Intelligence Artificial neural networks Classification Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Context Data Mining and Knowledge Discovery Deep learning Digital media Factorization Image Processing and Computer Vision Machine learning Neural networks News Original Original Article Probability and Statistics in Computer Science Social networks Tensors Deep learning Tensor decomposition Fake news Echo chamber Social media
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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