Fake News Detection Using MultiChannel Deep Neural Networks
DOI:
https://doi.org/10.59890/ijist.v1i5.684Keywords:
Fake news, MultiChannel, NetworksAbstract
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.
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