This paper looks into the problem of detecting fake news through efficient methods. There are already many highly
researched works on this subject, but most of them focus on detecting fake news on social media and do not use the
comprehensive content of the news for decision making. In this paper, we discuss different approaches to detect fake news, i.e
content based and style based, and why the former one is better. Apart from this, we also try to highlight where fake news
detection comes into use and also address the different challenges faced in building the model.
