Fake Information Detection Techniques

Fake or unverified information spreads same as actual facts on the internet, hence maybe going viral and influencing the general public opinion and their choices. fake news represents the maximum present-day forms of fake and unverified facts, respectively, and need to be detected as soon as possible for averting their results. The interest in efficient detection techniques has been therefore growing very rapid in the remaining years. In this paper we present survey on the specific techniques to computerized detection of fake news proposed in the latest literature. Particularly, this paper focus on five main aspects. First, we record and discuss the various definitions of fake news that have been considered in various literatures. Second, we highlight how the collection of applicable data for simulation of fake information detection is tough and we present the numerous approaches, which have been adopted to accumulate this information, additionally the publicly available datasets. Third, we describe the features that have been used in various fake news detection techniques. Fourth, we provide an evaluation of various techniques used for detection. In the end, we discuss future directions that could be considered for this problem.