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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.

Both right-wing extremists and Islamist groups use social media to spread their political and ideological messages. To prevent extremist groups from abusing new media ecosystems and their mechanisms for their purposes, preventative measures must be based on sound knowledge of their methods. In this article Daniel Köhler and Julia Ebner explain which media strategies rightwing extremist and Islamist groups pursue in order to target internet users who are susceptible to radicalisation, recruit them for their purposes, intimidate political opponents and manipulate online discussion. Despite the different ideological
convictions of the groups, their methods overlap.

This report treats developments in the violent extremist and terrorist online scene(s) and responses to them in the 13-month period from 1 December 2018 to 31 December 2019. It is divided into two parts: Part I focuses on the online activities of the extreme right, with a particular emphasis on the Christchurch attacks, and Part II on violent online jihadism, particularly the so-called ‘Islamic State’ (hereafter IS). The Conclusion provides a summing-up and identifies issues in this realm that bear watching in 2020. Those familiar with our previous reports will know that the structuring of these was slightly different, with analysis of violent jihadi activity preceding discussion of extreme right online activity in all instances. The March 2019 Christchurch attacks and a series of subsequent attacks in the United States and Germany put extreme right online activity firmly centre stage however, which is reflected in the structuring of the present report.

Social-media companies make extensive use of artificial intelligence in their efforts to remove and block terrorist content from their platforms. This paper begins by arguing that, since such efforts amount to an attempt to channel human conduct, they should be regarded as a form of regulation that is subject to rule-of-law principles. The paper then discusses three sets of rule-of-law issues. The first set concerns enforceability. Here, the paper highlights the displacement effects that have resulted from the automated removal and blocking of terrorist content and argues that regard must be had to the whole social-media ecology, as well as to jihadist groups other than the so-called Islamic State and other forms of violent extremism. Since rule by law is only a necessary, and not a sufficient, condition for compliance with rule-of-law values, the paper then goes on to examine two further sets of issues: the clarity with which social-media companies define terrorist content and the adequacy of the processes by which a user may appeal against an account suspension or the blocking or removal of content. The paper concludes by identifying a range of research questions that emerge from the discussion and that together form a promising and timely research agenda to which legal scholarship has much to contribute.

Verschwörungstheorien von im Untergrund herrschenden „Echsenmenschen“ oder einer „flachen Erde“ mögen in den Augen eines aufgeklärten Menschen abwegig und bizarr erscheinen, doch tatsächlich erfahren diese Narrative dank dem Internet erhöhte Beachtung. Schon lange sind Ufos, die „false-flag-Anschläge“ von 9/11 und die gefälschte Mondlandung Teil eines virtuellen Erklärungsangebots an Menschen, die grundsätzliches Misstrauen gegenüber traditionellen Medien oder dem „Mainstream-Glauben“ hegen. Während diese Devianz in der bisherigen Form keine oder kaum Auswirkungen auf gesellschaftliche Prozesse hatte, ist ab 2016 eine Zeitenwende erkennbar. Verschiedene Indizien geben Anlass zur Sorge, denn obwohl sog. „alternative Fakten“ – Falschmeldungen, Fake-News und Desinformationen – keine gänzlich neuen politischen Phänomene darstellen, erhöht sich deren virulente Wirkung durch das Internet. Dabei sticht insbesondere ein Vorfall hervor, der als Präzedenzfall einer Wirklichkeitsmanipulation mit weitreichender Implikation gelten kann: #Pizzagate.

In the domain of computer science, the last years have witnessed the improvement of social network analysis at scale. One of the most challenging aspects of social network analysis is community detection; analysts use a variety of tools to visualise the spontaneous group structure emerging from interactions and friendship relations in multi-million-user networks. This visualisation, combined with influencer detection and automated text analysis tools such as topic detection, enables the analyst to grasp most of the complexity of a social network. This computer-science-oriented study explores three lines of research concerning online extremism. First, about the emerging narratives and the topics that can be found on open platforms. We show that many actors actively use terror-group related terms; most cannot be directly tied to any specific organisation. A second axis concerns the connections between platforms: the information space has no central point as content is shared across platforms. However, the links reveal clusters of locations: we observe a group of Pakistan-India conflict mentions, and a cluster of US alt-right websites, transforming terrorism into a migration problem. The third axis relates to the social media landscape structure. We rely on a combination of document-level topic modelling and graph analysis to detect and explore the social data, visualising the types of groups that are active on the topic. Among the results, we found a small botnet circulating a pro-Daesh pamphlet and a set of grassroot reactions that managed to moderate a controversial pro-Jihadi post on Reddit.