Intelligent Data Analytics for Terror Threat Prediction

1Rumor Detection and Tracing its Source to Prevent Cyber-Crimes on Social Media

Ravi Kishore Devarapalli* and Anupam Biswas^†

Department of Computer Science Engineering, National Institute of Technology Silchar, Assam, India

Abstract

Social media like Facebook, Twitter, WhatsApp, Sina Wiebo, Hike, etc. play an important role in the information spreading in today’s world. Due to large scale connectivity, some of the cyber criminals are choosing these platforms to implement their criminal activities such as rumor spreading which is popularly known as rumor diffusion. In a pluralistic society like India, rumors that spread over various social networking platforms are much more vulnerable. It is challenging for even public, government and technical experts working on social media to find these cyber-crimes and its origin to punish the culprit. Nowadays, some cyber criminals are choosing different platforms and paths to accomplish their plans to escape brilliantly from those activities. Thus automated detection of rumor and tracing its source has great importance.

This chapter surveys the different automated rumor detection systems in social networks and techniques to trace the source of rumor. Detection of rumors on social networking platforms is possible through analysis of shared posts and comments wrote by followers. After detection of rumors, next job is to 1) prevent the rumors from further spreading and 2) identification of culprit i.e. the originator of rumor. This chapter ...