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The present Analytical Brief was prepared by the Counter-Terrorism Committee Executive Directorate (CTED) in accordance with Security Council resolution 2395 (2017), which directs CTED to conduct analytical work on emerging issues, trends and developments and to make its analytical products available throughout the United Nations system.

Terrorist groups have always sought to radicalize others (especially young people) to violence. However, over the past decade, their propaganda and radicalization efforts have occurred at greater speed and with a bigger range, a process facilitated by the fastest, broadest expansion of mass communications in human history. As a consequence, Member States have been forced to expand their efforts to combat terrorist communications beyond merely blocking or removing online terrorist propaganda and have increasingly emphasized countering terrorist narratives. In May 2017, the Security Council adopted its resolution 2354 (2017), which welcomed the Counter-Terrorism Committee’s “Comprehensive International Framework to Counter Terrorist Narratives.” In accordance with the Framework, Member States and other stakeholders should not only emphasize terrorists’ inhumanity and the flaws in their arguments, but also develop positive or alternative narratives that promote a holistic worldview and encourage non-violent pathways to address grievances and feelings of powerlessness and alienation.

In this report a team of scholars critically assesses both the “cyberutopian” and “cyberskeptic” perspectives on the impact of new media on political movements. The authors propose a more complex approach that looks at the role of new media in contentious politics from five interlocking levels of analysis: individual transformation, intergroup relations, collective action, regime policies, and external attention.

Universities play a vital role in carrying out research on issues where security-sensitive material is relevant. This guidance document concerns the storage and circulation of security- sensitive research material. If circulated carelessly, such material is sometimes open to misinterpretation by the authorities, and can put authors in danger of arrest and prosecution under, for example, counter-terrorism legislation. Certain procedures for independently registering and storing this material – through research ethics processes – are recommended in this guidance.

This study examined the literature on online terrorism studies between 2001 and 2022 and compared themes across journal segments and funded research. The results showed that there is a relationship between funding and the number of publications in recent years. While themes in the core terrorism journals more likely to follow the traditional terrorism studies, funded research (e.g. Computer Science Journals) focus more on social media, far-right groups and hate speech utilizing new research tools such as machine learning and text mining techniques. These new tools enable researchers to study different dimensions of the phenomenon, but these works are not published in terrorism journals. The results also point to a gap between core terrorism journals and Computer Science journals, which heralds at least two potential developments in the future: i) emergence of specialized journals focusing on terrorism and concepts like social media, populism, hate speech, text mining, machine learning and so on; and ii) more collaborative outputs between terrorism researchers and computer scientists.

The paper investigates the potential effects user features have on hate speech classification. A quantitative analysis of Twitter data was conducted to better understand user characteristics, but no correlations were found between hateful text and the characteristics of the users who had posted it. However, experiments with a hate speech classifier based on datasets from three different languages showed that combining certain user features with textual features gave slight improvements of classification performance. While the incorporation of user features resulted in varying impact on performance for the different datasets used, user network-related features provided the most consistent improvements.

The backbone of the “skull mask” transnational neo-fascist accelerationist network—whose nodes include terror groups such as Atomwaffen, the Base, and Feuerkrieg Division—is a group of organizations that grew out of Iron March, a neo-fascist web forum that was active from 2011 to 2017. The history of the Iron March network shows that violent extremist movements can develop from online communities even in the absence of a territorial base and without regular in-person contact between members. Iron March provided a closed social space where young neo-fascists who did not fit in well in established neo-fascist organizations could create a transnational collective identity. Eventually, Iron March users sought each other out in person and created local groups that remained networked together by virtue of their common origin in the community created on the web forum. The network’s transition from activism to terrorism was facilitated by the introduction of violent ritualistic initiation practices derived from the writings of the Order of Nine Angles, which helped to habituate members to violence as well as to create a sense of shared membership in a militant elite.