Online Library

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.

Countering the militancy in Kashmir has become a highly challenging task due to the exploitation of new information and communication technology by insurgent groups. The battlefield is now a multidimensional one, encompassing both physical territory and cyberspace. The overall capabilities of insurgents have been enhanced by tools in cyberspace that are inexpensive, ever more sophisticated, rapidly proliferating, and easy to use. Militants are systematically exploiting the Internet to generate moral support, recruit personnel, and transmit propaganda, leading to the further militarisation of the Kashmiri youth. This paper examines the potentially disastrous consequences of the use of cyberspace by an already strong insurgency in Kashmir. The objective is to understand the most effective means to counter the cyber dimension of the Kashmir insurgency.

What is the EU doing to counter terrorist propaganda online?

The Islamic State, also known as ISIS, has distinguished itself as a pioneer in the use of social media for recruitment. But, while ISIS continues to be one of the most influential terrorist groups in the material world, other extremists are closing the gap in the virtual realm. On Twitter, ISIS’s preferred social platform, American white nationalist movements have seen their followers grow by more than 600% since 2012. Today, they outperform ISIS in nearly every social metric, from follower counts to tweets per day. This study examines and compares the use of Twitter by white nationalists, Nazi sympathizers, and ISIS supporters respectively, providing some preliminary comparisons of how each movement uses the platform.

In June 2014 the organisation known as ‘Islamic State’ (IS) announced the establishment of a 680km Syrian and Iraqi Caliphate. Since this time, it has exercised large scale massacres of Middle Eastern civilians, executed foreign prisoners, and forced dissenters into sexual and economic slavery (Lister, 2014: 17). To sustain its operational strength and acquisition of territory, the organisation replenishes its expendable armed forces by attracting foreign fighters using propaganda via online communications. Around 22,000 foreign fighters are currently estimated to have travelled to Syria and Iraq to fight for IS (Stern, 2015: 68), and this is number likely to increase in the immediate future. It is also increasingly noted that through online media, IS encourages returned foreign fighters and ‘homegrown’ sympathisers in countries outside of Iraq and Syria to execute attacks on civilian populations. The internationalisation of the threat posed by IS became starkly apparent in 2015 following IS-inspired and in some cases IS-directed attacks on countries including Tunisia, Turkey, Lebanon, France and Indonesia.

Support for an extremist entity such as Islamic State (ISIS) somehow manages to survive globally online despite considerable external pressure and may ultimately inspire acts by individuals having no history of extremism, membership in a terrorist faction, or direct links to leadership. Examining longitudinal records of online activity, we uncovered an ecology evolving on a daily time scale that drives online support, and we provide a mathematical theory that describes it. The ecology features self-organized aggregates (ad hoc groups formed via linkage to a Facebook page or analog) that proliferate preceding the onset of recent real-world campaigns and adopt novel adaptive mechanisms to enhance their survival. One of the predictions is that development of large, potentially potent pro-ISIS aggregates can be thwarted by targeting smaller ones.