Abstract: Internet is one of the most significant inventions, and many people utilise it. These people employ it for various functions. These users have access to a variety of social networking channels. Through these internet platforms, every user can submit something or share a story.These sites don't check the content that users publish, so some individuals try to propagate false information on them. These false reports may serve as propaganda against a specific person, group, company, or political party. A person cannot discern all of these false reports. Therefore, there is a need for machine learning classifiers that can automatically identify these phoney news. This comprehensive literature review describes the use of machine learning classifiers for detecting false news.

Keywords: Online fake news, text classification, machine learning, fake news, social media

| DOI: 10.17148/IARJSET.2023.10645