FAKE NEWS DETECTION USING MACHINE LEARNING ALGORITHMS
Bulagonda Bharath Kumar1, Dr. K.F. Bharati2
1PG-Scholar, Department of CSE, JNTUA College of Engineering (Autonomous) Ananthapuramu, India.
2Assistant Professor, Department of CSE, JNTUA College of Engineering (Autonomous) Ananthapuramu, India.
In today’s era, where internet access is practically universal, many individuals now get their news from a wide range of websites. The proliferation of social media platforms like Facebook, Twitter, etc. has made it possible to rapidly disseminate information to tens of millions of people. The spread of misinformation may have far-reaching effects, from swaying public opinion to even swaying election results in favors of certain politicians. Spammers also utilize attention-grabbing subject lines to get visitors to visit their websites. Sometimes it is important to check the accuracy of information. If you don’t have time to write your thesis due of your academics, hire a service to do it for you. In this research, we classify a huge collection of online news stories into two categories using techniques from Natural Language Processing, Machine Learning, and Artificial Intelligence. Our goal is to equip you with the means by which to evaluate a news story’s veracity and the reliability of its source.
Keywords: social media, Fake News, Classification, Artificial Intelligence, Machine Learning, Websites, Authenticity.