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All Journal International Journal of Integrated Science and Technology
Mayuri Garad
Universitas HKBP Nomensen Pematang Siantar
Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Social Sciences

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Fake News Detection Using MultiChannel Deep Neural Networks Meenakshi A Thalor; Mayuri Garad
International Journal of Integrated Science and Technology Vol. 1 No. 5 (2023): November 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v1i5.684

Abstract

Fake news has become a pervasive issue in today's digital age, posing significant challenges to information integrity and trustworthiness. In this study, we propose a novel approach for the detection of fake news using MultiChannel Deep Neural Networks (MC-DNNs). Our research aims to address the limitations of traditional fake news detection methods by leveraging the power of deep learning and multiple data sources.
Co-Authors Meenakshi A Thalor