Approaches to Detect Online Radicalization: A Survey

Abstract

Online Radicalization (also called as Cyber-Terrorism or Extremism or Cyber-Racism or Cyber-Hate) is widespread and has become a major and growing concern to the people around the world. The  unprecedented growth of the Internet is leading to its widespread use among the online community for various purposes. Research shows that, low barrier to publish content, allows anonymity, provides exposure to millions of users and a potential of a very quick and widespread diffusion of message, due to this, various platforms on the Internet such as video sharing website, micro-blogging services, social networking websites, online discussion forums and blogosphere are being heavily misused by radical or extremist groups and users to practice several kinds of mischievous acts with concealed agendas and promote ideologies in a sophisticated manner. Automatic detection of online radicalization is a technically challenging problem because of the extensively large amount of the data, unstructured and noisy user-generated content, dynamically changing content and adversary behavior. There are several approaches and methods proposed in the literature aiming to combat and counter online radicalization (cyber-hate and cyber-extremism) In this survey, we review various methods to detect online radicalization. We analyze these techniques, discuss limitations of existing techniques and find out research directions. 1. Ashish Sureka, Ponnurangam Kumaraguru, Atul Goyal, Sidharth Chhabra, "Mining YouTube to  Discover Extremist Videos, Users and Hidden Communities," AIRS 2010, Springer, pp. 13–24,2010 2. 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