Fake News Detection on Indian Sources

Everyone relies on many online resources for news in today's world, where the internet is pervasive. As the use of social media platforms such as Twitter, Facebook, and others has grown, news has traveled quickly among millions of users in a short amount of time. Fake news has far-reaching effects, ranging from the formation of biased opinions to manipulating election outcomes in favor of specific politicians. Furthermore, spammers profit from click-bait ads by utilizing appealing news headlines. Sometimes, humans find it more difficult to determine the article's authenticity without additional verification. In this paper, we developed a classification model with the help of Deep Learning and Natural Language Processing Techniques, that classifies the article as real or fake news. The model has been tested on Indian news source - Times Of India along with other sources such as Politifact and was able to give decent accuracy in verifying the authenticity of the news.