Fake News Detection using Machine Learning

Abstract

Most smart phone users prefer to read news stories through online forums. The news websites are publishing the news and provide the source of validation. The question is how the stories and articles that are distributed on social media such as what’s App groups, Facebook pages, Twitter and other small blogs and social media sites are authorized. It is dangerous for the society to believe on the rumors and pretend to be news. The necessity for an hour to prevent rumors especially in developing countries like India, and to specialize in fair, proven issues. This paper deals with the revision of existing machine learning algorithms like Naïve Bayes, Logistic Regression, Support Vector Machine proposed to detect and reduce false information from various social media platforms. This paper provides a comparison of the results of existing fake news detection methods using different algorithms of machine learning.