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Mc-DNN: Fake News Detection Using Multi-Channel Deep Neural Networks

Jitendra Vikram Tembhurne, Md. Moin Almin, Tausif Diwan

Source Title: International Journal on Semantic Web and Information Systems (IJSWIS)18(1)

ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781799893967|DOI: 10.4018/IJSWIS.295553

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MLA

Tembhurne, Jitendra Vikram, et al. "Mc-DNN: Fake News Detection Using Multi-Channel Deep Neural Networks." IJSWIS vol.18, no.1 2022: pp.1-20. http://doi.org/10.4018/IJSWIS.295553

APA

Tembhurne, J. V., Almin, M. M., & Diwan, T. (2022). Mc-DNN: Fake News Detection Using Multi-Channel Deep Neural Networks. International Journal on Semantic Web and Information Systems (IJSWIS), 18(1), 1-20. http://doi.org/10.4018/IJSWIS.295553

Chicago

Tembhurne, Jitendra Vikram, Md. Moin Almin, and Tausif Diwan. "Mc-DNN: Fake News Detection Using Multi-Channel Deep Neural Networks," International Journal on Semantic Web and Information Systems (IJSWIS) 18, no.1: 1-20. http://doi.org/10.4018/IJSWIS.295553

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Abstract

With the advancement of technology, social media has become a major source of digital news due to its global exposure. This has led to an increase in spreading fake news and misinformation online. Humans cannot differentiate fake news from real news because they can be easily influenced. A lot of research work has been conducted for detecting fake news using Artificial Intelligence and Machine Learning. A large number of deep learning models and their architectural variants have been investigated and many websites are utilizing these models directly or indirectly to detect fake news. However, state-of-the-arts demonstrate the limited accuracy in distinguishing fake news from the original news. We propose a multi-channel deep learning model namely Mc-DNN, leveraging and processing the news headlines and news articles along different channels for differentiating fake or real news. We achieve the highest accuracy of 99.23% on ISOT Fake News Dataset and 94.68% on Fake News Data for Mc-DNN. Thus, we highly recommend the use of Mc-DNN for fake news detection.