Detecting Fake News Using Machine Learning : A Systematic Literature Review
This paper is a systematic literature review for researchers interested in applying machine learning to detect fake news.
This systematic literature review describes the use of machine learning classifiers for detecting fake news. It addresses the challenge that human beings are unable to detect all fake news spread through unverified online platforms.
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 the 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 news can be 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 fake news is described in this systematic literature review.