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In this article, we propose a general model of data collection from social media, in the context of terrorism research, focusing on recent studies of jihadists. By analyzing Twitter data collection methods in the existing research, we show that the methods used are prone to sampling biases, and that the sampled datasets are not sufficiently filtered or validated to ensure reliability of conclusions derived from them. Alternatively, we propose some best practices for the collection of data in future research on jihadist using social media (as well as other kinds of terrorist groups). Given the similarity of the methodological challenges posed by research on almost all social media platforms, in the context of terrorism studies, the critique and recommendations offered remain relevant despite the recent shift of most jihadists from Twitter to Telegram and other forms of social media.

Despite the visible presence of violent extremist groups, and evidence of their connection with transnational groups such as Islamic State and Al-Qaeda, the number of empirical studies on this topic is limited in Bangladesh. There have been over 50 violent extremist attacks in Bangladesh in recent years (2013-2017) and digital media was used in different ways in most of these attacks. There appear to be no scholarly articles addressing this phenomenon in Bangladesh. To fill this gap, this project sheds light on the subject by analyzing life stories of Bangladeshi violent extremists. The data for this project was collected from content analysis of newspaper reports, Jihadi online magazines, and videos. Besides presenting current trends on how extremists are using digital media, this paper identifies challenges for counter-terrorism efforts in Bangladesh and provides suggestions to mitigate these challenges.

Notwithstanding the discernable participation of women in terrorist groups, empirical research on women in terrorism is very scant in Bangladesh. To fill this gap, our article examines women’s involvement in terrorism by analyzing the life stories of dozens of Bangladeshi women terrorists. We use a terrorist lifecycle approach to understand the role of digital media in female participation, particularly in terms of when in the lifecycle digital media becomes important, and in terms of how digital media interacts with other factors to shape women’s involvement in terrorist organizations. After analyzing female profiles and their socio-demographic traits, we provide an in-depth analysis of three female terrorist lifecycles. An analysis of the profiles of Bangladeshi terrorists who use digital media reveals that women were more likely to use digital media than men in the recruitment phase. The in-depth case studies of three female terrorist profiles find that multiple and different factors impact their terrorist life cycles. Social networks – families and friends – typically play a role in individuals’ decision to become involved and further engagement in terrorism. Specifically, digital media allows women to expand their social interactions beyond what is possible in person, thus allowing for virtual pathways into terrorism.

This article explores the results of a study on media participation on Twitter in 2018/2019 perceived as contributing to far right and Islamist radical ideologies, in 7 European countries. By combining online ethnography and big data approaches, we see that online far right extremism in Europe is active and ranks are growing, while Islamist extremism has been incapacitated in sharing controversial forms of expression. We describe how the far right uses Twitter as a means for political activism, while Islamist extremists offer lifestyle information, related to local branches of faith, using Twitter as a storefront that re-routes users to other platforms. We consider resources for action, notably on the far right. World leaders influence followers online and support a global conversation between users that paves the way to a far right European milieu thriving on Twitter. To conclude, we delve into the notions of radicalisation and political participation to emphasise the asymmetry between the two forms of media participation in respect to academic discourses and big tech and States’ practises.

The present study applies Social Learning (Differential Association) Theory to the explanation of political violence, focusing on exposure to extremist content through new social media (NSM) and controlling for key variables derived from rival theories. Data are gathered using (a) a paper-and-pencil study among high school students, and (b) a web survey targeting youths between 16 and 24 years old. A total of 6020 respondents form the dataset. Binary logistic regression is used to analyze the data. Results show that even when controlling for background variables, strain variables, personality characteristics, moral values, and peer influences, the statistical association between measures of extremism through NSM (ENSM) and self-reported political violence remains significant and fairly constant. The most persistent effects are found for those measures where individuals actively seek out extremist content on the Internet, as opposed to passive and accidental encounters using NSM. Furthermore, offline differential associations with racist and delinquent peers are also strongly and directly related to self-reported political violence, as are some mechanisms from rival perspectives. This indicates that political violence can only partially be explained by social learning and suggests that the impact of ENSM is mediated by real-world associations and that the offline world has to be taken into account.

President Obama reiterated his promise to destroy the virulent Islamic State Tuesday while talking about the Orlando mass shooting — and how gunman Omar Mateen, a U.S. citizen, may have been radicalized by online extremist propaganda. NewsHour producer P.J. Tobia reports on U.S. efforts to win the hearts and minds that the terrorists are trying to co-opt on the Internet.