Fake News Detection using Machine Learning

Abstract

Advancement in technology and easy access to internet increases use of online platforms and social media as a source of information. Online resources have quick access, but we can't guarantee the authenticity of information. Finding fake news involves identifying reports that are intentionally false or hoaxes disseminated through mainstream news sources (print and broadcast) or internet social platforms. Automatic fake news identification involves determining the authenticity of news reports. The detection of fake news is a crucial but complicated task in natural language processing. Our aim is to design and train model using machine learning techniques for automatic detection of fake news. The suggested model achieves encouraging results.