Recent terrorist attacks carried out on behalf of ISIS on American and European soil by lone wolf attackers or sleeper cells remind us of the importance of understanding the dynamics of radicalization mediated by social media communication channels. In this paper, we shed light on the social media activity of a group of twenty-five thousand users whose association with ISIS online radical propaganda has been manually verified. By using a computational tool known as dynamical activity-connectivity maps, based on network and temporal activity patterns, we investigate the dynamics of social influence within ISIS supporters. We finally quantify the effectiveness of ISIS propaganda by determining the adoption of extremist content in the general population and draw a parallel between radical propaganda and epidemics spreading, highlighting that information broadcasters and influential ISIS supporters generate highly-infectious cascades of information contagion. Our findings will help generate effective countermeasures to combat the group and other forms of online extremism.
A few studies explored unconventional data sources: one interesting example is the work by Vergani and Bliuc @cite_55 that uses sentiment analysis (Linguistic Inquiry and Word Count @cite_25 ) to investigate how language evolved across the first 11 Issues of Dabiq, the flagship ISIS propaganda magazine. Their analysis offers some insights about ISIS radicalization motives, emotions and concerns. For example, the authors found that ISIS has become increasingly concerned with females, reflecting their need to attract women to create their utopia society, not revolving around warriors but around families. ISIS also seems to have increased the use of internet jargon, possibly to connect with the identities of young individuals online.
@cite_55 @cite_25
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In this article we investigate the evolution of ISIS by analysing the text contained in Dabiq, the official ISIS internet magazine in English. Specifically, we used a computerized text analysis pro-gram LIWC (Linguistic Inquiry and Word Count) to investigate the evolution of the language of the first 11 Issues of Dabiq. First, our analysis showed that affiliation seems to be an increasingly important psychological motive for the group. Secondly, ISIS has been increasingly using emotions, which are an important mobilizing factor in collective action literature, in a strategic manner. Thirdly, ISIS language presents an increasing concern with females. Last but not least, our analysis shows that ISIS has been increasingly using internet jargon (net-speak), which shows how the group tries to adapt itself to the internet environment and to connect with the identities of young individuals. ISIS is of particular concern as it seems to be more successful at recruiting foreign fighters than other jihadist groups (such as al-Qaeda). This aspect is difficult to quantify because reliable it is hard to access data about the exact number, demographics and affiliation of the foreign fighters who joined those organizations. Yet according to reports by the European Union there is a concerning increase in recruitment rates and patterns, with ISIS being more successful at recruiting young individuals from Western countries than any other jihadist group (Archick, Belkin, Blanchard, Hemud, & Mix, 2015). Scholars suggested that the majority of newly recruited jihadists prefer ISIS to other jihadist groups (Karmon, 2015; Klausen, 2015; Peresin, 2015; Peresin & Cervone, 2015; Turner, 2015)and journalists rep The emergence and actions of the so-called Islamic State of Iraq and the Levant (ISIL ISIS) has received widespread news coverage across the World, largely due to their capture of large swathes of land across Syria and Iraq, and the publishing of execution and propaganda videos. Enticed by such material published on social media and attracted to the cause of ISIS, there have been numerous reports of individuals from European countries (the United Kingdom and France in particular) moving to Syria and joining ISIS. In this paper our aim to understand what happens to Europe-based Twitter users before, during, and after they exhibit pro-ISIS behaviour (i.e. using pro-ISIS terms, sharing content from pro-ISIS accounts), characterising such behaviour as radicalisation signals. We adopt a data-mining oriented approach to computationally determine time points of activation (i.e. when users begin to adopt pro-ISIS behaviour), characterise divergent behaviour (both lexically and socially), and quantify influence dynamics as pro-ISIS terms are adopted. Our findings show that: (i) of 154K users examined only 727 exhibited signs of pro-ISIS behaviour and the vast majority of those 727 users became with such behaviour during the summer of 2014 when ISIS shared many beheading videos online; (ii) users exhibit significant behaviour divergence around the time of their activation, and; (iii) social homophily has a strong bearing on the diffusion process of pro-ISIS terms through Twitter.