Fake News Detection using Machine Learning and Natural Language Processing

everyone depends on numerous online resources for news in today’s world, where the internet is used as a medium. As the use of social media sites such as Facebook, Twitter, and others has grown, news has spread quickly between a large number of users in a tiny snap of time. The dissemination of false news has the implications, from swaying voting results in favour of some parties to creating skewed opinions. Furthermore, spammers use enticing news stories to generate revenue from click-bait ads. Our goal in this paper is to use AI, and ML principles to implement binary classification of different news contents available on social media sites. Our goal is to give the user the ability to identify news as fake or actual, as well as to verify the legitimacy of the website that published the news.