Online Library

This study explores how the internet is used by individuals in the process of their radicalisation. It is based on primary data drawn from a variety of sources: evidence presented at trial, computer registries of convicted terrorists, interviews with convicted terrorists and extremists, as well as police senior investigative officers responsible for terrorist investigations.

A summary of the current understanding of the role of the Internet in relation to extremist and terrorist networks. The paper was prepared by the ISD and the Policy Planners’ Network on Countering Radicalisation and Polarisation (PPN) – Belgium, Denmark, France, the Netherlands, Spain, Sweden and the UK.

This book examines the circulation and effects of radical discourse by analysing the role of mass media coverage in promoting or hindering radicalisation and acts of political violence.

The Internet is harnessed as an ideal means for organization and promotion of protest ideology, which does not require special institutional facilities for maintenance and development. Radical right-wing extremism is reckoned to be among the public sentiments employing this global network. Consequently, Russia is experiencing the tightening of Internet controls. The objective of our study is identification of the audience of Russian radical right-wing extremist online groups registered in the largest Russian social network Vkontakte and analysis of their properties under conditions of the state-sanctioned censorship of extremist content. The methodological frame of the study is the conception of modernization, which describes both the process of transformation of traditionalism into modernity and the forces of counteraction to this process. The methods of linguistic markers and social network analysis are employed as the main tools for the furtherance of our objective.

This study analysed three social media movements linked with extreme right‑wing activities online. Such activities were carried out by right‑wing extremists and those who support their philosophy of nationalism and religious conservatism, whether actively or passively. This study also investigated how themes and narratives from across the globe, such as US political discourse, Russian disinformation and conspiracy theories, are combined with real‑life local grievances in order to appeal to similarly aligned followers to help to disseminate and legitimise reactionary speech.

The online domain potentially provides research with a vast body of data. The big quest within contemporary research is to make sense of all this data. A possibility to handle such data is by combining methods from the fields of new media and linguistics. Several studies have sought to understand how radicalism online comes to exist and grows. To date, however, none of these studies have fruitfully analysed language patterns within online communities that move beyond keyword analysis. In this thesis, I demonstrate a proof of concept for a classifier analysing and predicting salient language features within online radical discourse from the social media platform Reddit. Data consist of two datasets, radical and non-radical in nature, both containing 1 millions lines of text per dataset. The radical dataset is known for its radical nature, promoting radicalism in a variety of beliefs such as anti-feminism or white supremacy. Using software libraries as NLTK and SciKit within Python, I submitted that data to keyword and collocation frequency count, lexical diversity, a part-of-speech tagger and ultimately as features for a document classifier. Results showed that the radical discourse used in this thesis contains salient language features and show a clear sense of a virtual community. Finally, I discuss the implications of this thesis and provide directions for further research. Data was provided by TNO The Hague as part of the VOX-Pol project.