Fake News Detection with Machine Learning

Abstract

As per Cambridge Dictionary, a leading English dictionary published by the Cambridge University press, fake news is defined as false stories that appear to be news, spread on the internet or using other media, usually created to influence political views or as a joke. Fake news is in existence for a long, and it has a considerable negative influence on politics, corporations, the economy and society at large. Fake news is curate and spread via traditional and social media. With the advancement in computer technology and especially in the field of Machine Learning (a specialized branch of application where computers are trained to understand and then decide an action), many Machine Learning techniques are employed to detect and stop the spread of fake news. This project explores the application of Machine Learning techniques in detecting fake news and constructs a flexible, fast and reliable software prototype to detect fake news with a high degree of accuracy.