Abstract: - With the popularity ofmobile technology and social media growing, information is readily available.Mobile App and social media platforms have overturned traditional media in thedistribution of news. Alongside the increment in the utilization of onlinemedia stages like Facebook, Twitter, and so forth news spread quickly among alarge number of clients with an extremely limited ability to focus time.Machine learning and Knowledge-based approach and approach are the twotechniques utilized for investigating the truthiness of the content. Public andprivate assessments on a wide assortment of subjects are communicated andspread persistently through various online media. Most methodologies areutilized, for example, regulated AI. The spread of phony news has extensiveresults like the making of one-sided feelings to influencing political raceresults to support certain applicants. Additionally, spammers utilize engagingnews features to produce income utilizing notices through click baits. In thispaper, we intend to perform a parallel grouping of different news storiesaccessible online with the help of thoughts identifying with Artificial Intelligence,Natural Language Processing, and Machine Learning. The result of the projectdetermines the fake news detection for social networks using machine learningand also checks the authenticity of the publishing news website.
Keywords: - Fake News, News articles, Internet, Social media, Classification,Artificial Intelligence, Machine Learning.