A Deep Learning Based Fake News Detection Framework - Sivaji, U
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With the proliferation of social media, news is spreading faster. Moreover, social feedback became essential for organizations and governments to grow in intelligence and make strategies. However, there are cases of fake news that cause potential issues as they have wherewithal to influence people. The news in social media are polluted with fake news items if they are not identified correctly and removed from time to time. It is a challenging problem to be addressed. Many existing algorithms to detect fake news were good in performance.

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Produktbeschreibung
With the proliferation of social media, news is spreading faster. Moreover, social feedback became essential for organizations and governments to grow in intelligence and make strategies. However, there are cases of fake news that cause potential issues as they have wherewithal to influence people. The news in social media are polluted with fake news items if they are not identified correctly and removed from time to time. It is a challenging problem to be addressed. Many existing algorithms to detect fake news were good in performance.
Autorenporträt
Dr.U.Sivaji is currently an Associate Professor with the Department of Information Technology,Institute of Aeronautical Engineering, Dundigal, Hyderabad,Telangana. His current research interests include software Engineering Machine Learning, networks, cybersecurity, software Automation, and cloud computing.