Fake News Detection: A long way to go

Abstract

One can easily say in today's world, information aka news to few is more precious than money itself. This news needs to be in authentic form which is usually found in adulterated version. Leading us to have a dire need for an identification of real news from any possible fake news. News, being a form of information can be subjective to the proofs and source for its authenticity. As a human, one can easily identify real news from fake news with the help of one's innate capability to deduce logic and outlandish source of the information piece. Just that one needs few trusted sources to check for the facts and myths. But on a real time basis, there is a dire need for some software which can nip such ‘false news’ in its bud. Leading it to be one of the most researched area nowadays. Primarily being a part of Information Retrieval, this area is taking up a lot of attention from researchers worldwide to come up with a real-time solution for such an issue. In this article we have checked and analysed many research articles along with many survey articles and summed up this paper so as to provide the readers with a short idea of what fake news is, it's different flavours in the news spectrum, its characteristics and identification basic. We also included the different methods used by prior researchers in the same field. Using few researches as examples we learned about the basics of those methods used in fake news identification. The future aspects are also included in this article along with the challenges one faces while doing research in this very field.