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Detecting Fake News using Machine Learning

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dc.contributor.author Ahmed, Alim Al Ayub
dc.contributor.author Aljarbouh, Ayman
dc.contributor.author Donepudi, Praveen Kumar
dc.contributor.author Choi, Myung Suh
dc.date.accessioned 2024-03-12T03:12:35Z
dc.date.available 2024-03-12T03:12:35Z
dc.date.issued 2023-12-20
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/11662
dc.description.abstract Internet is one of the important inventions and a large number of persons are its users. These persons use this for different purposes. There are different social media platforms that are accessible to these users. Any user can make a post or spread the news through these online platforms. These platforms do not verify the users or their posts. So some of the users try to spread fake news through these platforms. These fake news can be a propaganda against an individual, society, organization or political party. A human being is unable to detect all these fake news. So there is a need for machine learning classifiers that can detect these fake news automatically. Use of machine learning classifiers for detecting the fake news is described in this systematic literature review. Keywords: Online fake news, Machine learning, fake news, Text Classification, social media en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Fake news en_US
dc.subject News en_US
dc.title Detecting Fake News using Machine Learning en_US
dc.title.alternative A Systematic Literature Review en_US
dc.type Other en_US


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