Detection of Rumour Source on Online Social Network

Digital data is spreading through online social networks (OSN) such as Facebook, Twitter, and Sino Weibo, the interesting question is to find out the influential spreaders based on user interaction. Digital data are diffused into the network based on three aspects temporal, structural and linguistic. Digital data can be separated into two forms as rumors and non-rumor data. In this paper we survey on different techniques used for automatic detection of rumors on online social network and do the comparative study. We develop a model for detection of rumours on online social network using a machine learning technique.