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Despite an increasing number of attacks by violent anti-Good Friday Agreement (GFA) Republicans from 2009 there is still relatively little understanding of the nature of these organizations or the likely longevity of their campaign(s). This analysis argues that the current upsurge of violence is likely to continue for the foreseeable future, due to a combination of factors that entrench republican ideology. The fractured nature of anti-GFA groups and the declining stature of the Provisional movement are key factors that energize anti-agreement sentiment. In particular, this study identifies the Internet as one of the most significant emerging drivers in that it has the potential to sustain social networks that create and reinforce a traditional minded Irish Republican constituency implacably committed to using violence in pursuit of its goals.

In this paper we use methods of social network analysis to examine the inter-organizational structure of the white supremacist movement. Treating links between Internet websites as ties of affinity, communication, or potential coordination, we investigate the structural properties of connections among white supremacist groups. White supremacism appears to be a relatively decentralized movement with multiple centers of influence, but without sharp cleavages between factions. Interorganizational links are stronger among groups with a special interest in mutual affirmation of their intellectual legitimacy (Holocaust revisionists) or cultural identity (racist skinheads) and weaker among groups that compete for members (political parties) or customers (commercial enterprises). The network is relatively isolated from both mainstream conservatives and other extremist groups. Christian Identity theology appears ineffective as a unifying creed of the movement, while Nazi sympathies are pervasive. Recruitment is facilitated by links between youth and adult organizations and by the propaganda efforts of more covertly racist groups. Links connect groups in many countries, suggesting the potential of the Internet to facilitate a whitesupremacist “cyber-community” that transcends regional and national boundaries.

This article investigates Twitter data related to the kidnapping case of two German nationals in the southern region of the Philippines by the Abu Sayyaf Group (ASG). It explores perceptions of the ASG, along with associated organizations and sentiments indicated in the tweets together with statistically significant relationships. Findings revealed that: “Rebel” and “Militant” were the most frequently used labels for the ASG; a majority of the tweets contained sentiments that assess threats such as abduction and kidnapping of hostages; and almost half contained words that indicate negotiation or concession to the demands of the captors. Logistic regression analyses on “Rebel” and “Islamist” revealed positive coefficients for these sentiments used as predictors. This meant that people who assessed threats and expressed sentiments that responders should concede to the captors’ demands were more likely to use the “Rebel” or “Islamist” labels. Rather than the two longstanding dominant narratives of the ASG as terrorists and criminals, the emerging rebel and militant labels suggest a more domestically and politically sensitive Twitter commentary than is represented in the work of the Al-Qaeda-centric paradigm exponents. These findings, along with the complex associated political and policy contexts and implications, are discussed in this article.

One of the paradoxical effects of the 7 July bombings in London was to expose the ambivalence in the British government’s attempt to wage war on terror by forcefully prosecuting war against those who resort to jihad abroad, actively participating in coalitions of the willing whether in Afghanistan or Iraq, while affording some of Islamism’s key ideologists and strategists a high degree of latitude in the United Kingdom itself. This indicates a number of contradictions in official policy that simultaneously recognizes the globalized threat from violent Islamic militancy while, under the rubric of multiculturalism, tolerating those very strains of Islamist radicalism, some of which draw upon the interdependent and transnational character of conflict, to render the UK vulnerable to those very same violent forces. Consequently, the British authorities displayed a studied indifference towards this developing transnational phenomenon both during the 1990s and in some respects even after the London bombings. To explore the curious character of the government’s response to the Islamist threat requires the examination of the emergence of this radical ideological understanding and what it entails as a reaction to modernization and secularism in both thought and practice. The analysis explores how government policies often facilitated the non-negotiable identity politics of those promoting a pure, authentic and regenerated Islamic order both in the UK and abroad. This reflected a profound misunderstanding of the growing source and appeal of radical Islam that can be interpreted as a consequence of the slow-motion collision between modernity in its recent globalized form and an Islamic social character, which renders standard western modernization theory, and indeed, the notion of a ‘social science’ itself, deeply questionable.

This paper explores various Social Network Analysis (SNA) techniques in order to identify a range of potentially ‘important’ members of Islamic Networks within Dark Web Forums. For this experiment, we conducted our investigation on five forums collected in previous work as part of the DarkWeb Forum portal and built upon the tool support created in our previous research in order to visualise and analyse the network. Whilst existing work attempts to identify these structures through state-of-the-art Computational Linguistic techniques, our work relies on the communication metadata alone. Our analysis involved first calculating a range of SNA metrics to better understand the group members, and then apply unsupervised learning in order to create clusters that would help classify the Dark Web Forums users into hierarchical clusters. In order to create our social networks, we investigated the effect of repeated author resolution and various weighting schemes on the ranking of forum members by creating four social networks per forum and evaluating the correlation of the top n users (for n = 10; 20; 30; 40; 50 and 100). Our results identified that varying the weighting schemes created more consistent ranking schemes than varying the repeated author resolution.