Detecting fake news using NLP

Nowadays, due to the increase in the use of the internet, it has become really easy to spread fake news. A large number of users are consuming and posting content on the internet via their social media accounts daily. It has become difficult to distinguish the real news from the fake news. Fake news, however, can do significant damage to a person, society, organization, or political party. Looking at the scale, it is impossible to skim through every article manually or using a human reviewer. Thus, there is a need to develop smart algorithms that can automatically detect fake news articles and stop the spread of dangerous news as soon as it is generated.

ML-based classification algorithms can be used to detect fake news. First, we need a good training dataset to train the classification model on so that it can learn the common patterns of fake news and thus automatically distinguish it from real news. In this section, we will train an ML model to classify...