Fake news detection in social media using recurrent neural network

Social Media is very popular now a days to share news, communicate and discuss about trending topics. As we are aware whenever there is a positive promotion, there will be surely a negative part associated with it. Such a negative part in social media is the travel of fake contents in the news that...

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Bibliographic Details
Published in:AIP Conference Proceedings 2022-11, Vol.2516 (1)
Main Authors: Sivasankari, S., Vadivu, G.
Format: Article
Language:English
Subjects:
Digital media
Natural language processing
News
Recurrent neural networks
Social networks
Online Access:Get full text
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Summary:Social Media is very popular now a days to share news, communicate and discuss about trending topics. As we are aware whenever there is a positive promotion, there will be surely a negative part associated with it. Such a negative part in social media is the travel of fake contents in the news that are travelled in a very fast manner than the true content. Hence it is necessary to develop a methodology to detect the fake contents that are propagating in social media. In our work we have used the Recurrent Neural Network to detect the fake news and achieved a good accuracy compared to existing natural language processing methods.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0108649