Use of Implicit and Explicit Features of Fake News Detection

Because of the exponential growth of online information, it is becoming impossible to decipher the true from the false. Thus this causes to the problem of fake news. This research considers previous methods as well as current methods for fake news detection in textual formats while detailing why and how fake news exists in the first place. However On the other hand, social media provides an ideal place to the creation and spread of fake news. Fake news can become extremely influential and has the ability to spread exceedingly very fast. With the increment of people using social media, they are being exposed to new information and stories every day, automated classification of a text article as misinformation or disinformation is a challenging task. Even an expert in a particular domain has to explore multiple aspects before giving a verdict on the truthfulness of an article. Various machine learning and deep learning methods are available. This paper provides survey of various fake news detection methods.