Fake news detection using machine learning and natural language processing

Abstract

The web and internet-based life have led the entrance to news data, a lot less demanding and agreeable. Mass-media affects the life of the general public and as it frequently occurs. There are few individuals that exploit these privileges. This prompts the creation of the news articles that are not totally evident or indeed, even totally false. People intentionally spread these counterfeit articles with the help of web-based social networking sites. The fundamental objective of fake news sites is to influence the popular belief on specific issues. The main goal of fake news websites is to affect public opinion on certain matters. Our aim is to find a reliable and accurate model that classifies a given news article as either fake or true.