NLP-for-fake-news-detection

We consume news through several mediums throughout the day in our daily routine, but sometimes it becomes difficult to decide which one is fake and which one is authentic. Do you trust all the news you consume from online media? Every news that we consume is not real. If you listen to fake news it means you are collecting the wrong information from the world which can affect society because a person’s views or thoughts can change after consuming fake news which the user perceives to be true. Since all the news we encounter in our day-to-day life is not authentic, how do we categorize if the news is fake or real? In this article, we will focus on text-based news and try to build a model that will help us to identify if a piece of given news is fake or real. Before moving to the practical things let’s get aware of few terminologies. A sort of sensationalist reporting, counterfeit news embodies bits of information that might be lies and is, for the most part, spread through web-based media and other online media. This is regularly done to further or force certain kinds of thoughts or for false promotion of products and is frequently accomplished with political plans. Such news things may contain bogus and additionally misrepresented cases and may wind up being virtualized by calculations, and clients may wind up in a channel bubble.