WITHDRAWN: Prediction of rumour source identification through spam detection on social Networks- A survey

Abstract

Online social networks (OSNs) are becoming part of everyone’s virtual world which helps people to connect and disseminate all kind of opinions, news, and other information in real-time. In this era of social networking, an increased amount of novel information being spread with different viewpoints in an unprecedented scale. However, along with useful information propagation, OSNs also serve as fertile land for false information or rumour propagation. This causes irreversible damage to society during emergency events as a negative effect and hinder them from the actual information. Normally, internet media like OSNs, gossip circulate quicker than average. Therefore, studying the rumour dynamics and controlling the rumours in OSNs is of critical research interest in recent times. To achieve this purpose, a robust and reliable centrality model need to be introduced to discover influential spreader by considering the interest of individual’s on neighbor. The opinion of an individual with neighbors is the primary source for this method along with their location in the network. Identifying the rumours during inception stages is difficult due to the lesser availability of data related to the rumour. In this paper a brief survey is done on different rumour source identification techniques.