News and Information Credibility Analysis

  • Manish Ambre , Pranit Borkar , Neha Ban , Mayur Gore


In today’s social networking world, people use their social media accounts not just for connecting with each other but as a source of news and information. News and information is available onvarious sources on the Web for free and easily, which creates problems regarding the credibility of a  news item or an article. News is shared over social media very quickly making the content sharedviral and difficult to stop from spreading if it is fake or dishonest in any way.In this paper, we discuss a system that uses various Natural Language Processing techniques andMachine Learning Classification algorithms to predict and classify Fake news articles or headlinesusing the Sci-Kit libraries. We also aim to use a custom made news data-set that will be created by   scraping news data from several sources on the internet.