FNDNet – A deep convolutional neural network for fake news detection

•Fake News Detection using A Deep Neural Network.•Experimentation using Deep Learning Algorithms with hyper-parameters optimization.•Achieved 98.36% accuracy in Fake News Detection. With the increasing popularity of social media and web-based forums, the distribution of fake news has become a major...

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Bibliographic Details

Published in:	Cognitive systems research Vol. 61; pp. 32 - 44
Main Authors:	Kaliyar, Rohit Kumar, Goswami, Anurag, Narang, Pratik, Sinha, Soumendu
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.06.2020
Subjects:	Deep learning Fake news Machine learning Neural network Social media Deep learning Neural network Fake news Social media Machine learning
ISSN:	1389-0417, 1389-0417
Online Access:	Get full text
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