FAKE NEWS DETECTION

Abstract

Fake news has quickly become a society problem, being used to propagated false or rumour information in order to change people’s behaviour, this topic on social media has recently attracted tremendous attention. We are using the Naïve bays and passive aggressive classifier algorithm which can predict with an accuracy of roughly around 86%. This could help the novice project creator and could assist them in the planning for their crowd funding project. The future work in the project is that we might need to tune the model again as news in something which we couldn’t predict.