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Jihadists are very active on Twitter but their accounts frequently get suspended. A substantial debate over the effectiveness of suspension has arisen; an important factor is that Jihadists quickly create new accounts, resurging back like a game of whack-a-mole. This causes biases for terrorism and intelligence analysts. Whilst widely acknowledged, little research addresses the problem. In this study we identify resurging Jihadist accounts with novel methods, and provide detailed analysis going beyond previous case-studies. We show that suspension is less disruptive to terrorists than previously thought, whilst the bias and disruption caused to terrorism research has been underestimated.

Since 9/11, there has been an increase in domestic terrorism inspired by the Global Salafi Jihad ideology. Some of the individuals who undergo radicalization are U.S. college and university students. Radicalization is promoted on the Internet in ways that appeal to the young and impact those who are searching for their identities, their places in life. Radicalization is complemented by the open environment of higher education, where college- and university-based organizations can become forums for the presentation of radical messages in a way that connects with students. This article describes the four-stage radicalization process, explains why students are particularly vulnerable, and offers suggestions for implementing an effective response.

This study examines differences between users and nonusers of information communication technologies (ICTs) within the pre-incident planning processes for domestic terrorist movements operating within the United States. In addition, this study is the first quantitative exploration of the prevalence, types, and purposes of ICT use within terrorist movements, specifically environmental, far-right, and Islamic extremist movements. Using“officially designated” federal terrorism investigations from the American Terrorism Study (ATS), we analyzed extracted evidence of ICT usage among individuals (n =331) engaged in the pre-incident planning processes as members of terrorist movements between 1995-2011. While we find significant differences in terrorist ICT use across terrorist movements, our findings suggest that demographics are not a strong predictor of usage. We find the highest prevalence of usage among Islamic movements. However, evidence of online radicalization or recruitment was found predominantly among environmental movements. We conclude with a discussion of these findings and their implications for counterterrorism policy.

This paper examines the counter-violent extremism and anti-terrorism measures in Australia, China, France, the United Kingdom and the United States by investigating how governments leveraged internet intermediaries as their surrogate censors. Particular attention is paid to how political rhetoric led to legislation passed or proposed in each of the countries studied, and their respective restrictive measures are compared against the recommendations specified by the United Nations Special Rapporteur on the Promotion and Protection of the Right to Freedom of Opinion and Expression. A typology for international comparison is proposed, which provides further insights into a country’s policy focus.

VOX-Pol Blog Post.

Objectives
Despite popular notions of “filter bubbles” and “echo chambers” contributing to radicalization, little evidence exists to support these hypotheses. However, social structure social learning theory would suggest a hereto untested interaction effect.
Methodology
An RCT of new Twitter users in which participants were randomly assigned to a treatment of “filter bubble” (personalization algorithm) suppression. Ego-centric network and survey data were combined to test the effects on justification for suicide bombings.
Findings
Statistically significant interaction effects were found for two proxies of the echo chamber, the E-I index and modularity. For the treatment group, higher scores on both factors decreased the likelihood for radicalization, with opposing trends in the control group.
Conclusions
The echo chamber effect may be dependent on the filter bubble. More research is needed on online network structures in radicalization. While personalization algorithms can potentially be harmful, they may also be leveraged to facilitate interventions.