WSEAS Transactions on Business and Economics
Print ISSN: 1109-9526, E-ISSN: 2224-2899
Volume 21, 2024
Identifying COVID-19 Fake News on Social Networks Using Deep Learning: You will not know what happens next!
Authors: ,
Abstract: Fake News has long been an influential source of information on social media, misleading people and
causing unpredictable consequences, especially in the COVID-19 era when the spread of Fake News has been
amplified. There is a need to develop a platform that can detect Fake News on social platforms. With the development
of Natural Language Processing (NLP) and Deep Learning, the detection of misleading information is
becoming a reality. In this paper, we propose a feasible optimization scheme that combines and optimizes NLP
and Deep Learning to improve the accuracy of Fake News detection. Our model achieves a hit rate of up to
95.3% compared to state-of-the-art techniques. In the proposed system, a GUI-based interface is also designed
and developed to facilitate news detection.
Search Articles
Pages: 1973-1987
DOI: 10.37394/23207.2024.21.160