Fake News Identification System

Abstract

Nowadays, there is a huge surge in data, this results in a decrease in information precision on the Internet. Especially in the social media sphere and other platforms, there is a rapid exchange of data between multiple hands. This raises an important concern. Fake news detection is an important, yet very challenging topic. Traditional methods using lexical features have only very limited success. In this paper, we propose a method to gauge the authenticity of such information using only a few attributes of news with a simple user interface. Along with it, the application will also contain day-to-day important news. All these together will help in keeping the credibility and integrity of the information intact and steer us towards a safer community.To sum it up, the main problem we have in hand is the spread of fake news/misinformation and the application tries to curb it and provide reliable information.

Keywords:Fake News, Logistic Regression