Fake news detection system using stance detection and machine learning approaches
by Akhilesh Kumar Srivastava; Rijwan Khan
International Journal of Forensic Software Engineering (IJFSE), Vol. 1, No. 4, 2022

Abstract: In the present internet era, a need for genuine news sources is in high demand. With increased expansion and reachability of internet service, the consumption of news has seen a major growth. This growth has led to creation of different sources of news and has bought a revolution in the way the news is consumed and this heterogeneity has led to decline in authenticity of the news delivered and respective news sources. In this paper, authors glance over different present approaches in the direction of detecting fake news and discuss a stance-based method to review a claim and decide if its 'REAL' or 'FAKE'.

Online publication date: Tue, 05-Jul-2022

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