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The objective of the proposed open meeting is to assist the Committee to encourage States to better align their efforts in the area of countering terrorist narratives with the Framework and the guidelines contained in Council resolution 2354 (2017). Specifically, participants will be encouraged to:
1. Share information on trends and developments in terrorist narratives and effective measures to counter them, as well as on ways to measure and evaluate the effectiveness of such measures;
2. Discuss the benefits of a whole-of-society approach to countering terrorist narratives that involves a broad range of actors, including Governments, as well as youth; families; women; religious, cultural, and educational leaders; and other concerned civil society actors;
3. Share information on the benefits of countering terrorist narratives by amplifying positive and credible alternatives for audiences vulnerable to terrorist narratives;
4. Identify and analyse key aspects of the exploitation of information and communications technologies (ICT), including the Internet and social media, to disseminate terrorist narratives
5. Discuss ways to strengthen public-private sector engagement in countering terrorist narratives, both online and offline, including with respect to the TaT initiative and the work of the GIFCT
6. Share good practices in, and knowledge of, Member States’ compliance with the relevant international legal standards, including international human rights law, in this context, with respect in particular to the rights to freedom of expression and privacy
7. Encourage continued research into the drivers of terrorism and violent extremism in order to develop more focused counter-narrative programmes.

The use of social media to disseminate extreme political content on the web, especially right-wing populist propaganda, is no longer a rarity in today’s life. Recommendation systems of social platforms, which provide personalized filtering of content, can contribute to users forming homogeneous cocoons around themselves. This study investigates YouTube’s recommendations system based on 1,663 German political videos in order to analyze the homogeneity of the related content. After examining two datasets (right-wing populist and politically neutral videos), each consisting of ten initial videos and their first and second level recommendations, we show that there is a high degree of homogeneity of right-wing populist and neutral political content in the recommendation network. These findings offer preliminary evidence on the role of YouTube recommendations in fueling the creation of ideologically like-minded information spaces.

While the last years have seen increased engagement with gaming in relation to extremist attacks, its potential role in facilitating radicalization has received less attention than other factors. This article makes an exploratory contribution to the theoretical foundations of the study of gaming in radicalization research. It is argued that both top-down and bottom up gamification have already impacted extremist discourse and potentially radicalization processes but that research on gamification in other contexts points to a much wider application of gamification to extremist propaganda distribution tools in the future. The potential influence of video games on radicalization processes exceeds the transfer of the popular argument that exposure to violent media leads to desensitization to the context of radicalization and includes the exploitation of pop culture references, increases in self-efficacy regarding violence, and the direct experience of retropian visions through the content of games.

In this article, we conduct a comprehensive study of online antagonistic content related to Jewish identity posted on Twitter between October 2015 and October 2016 by UK-based users. We trained a scalable supervised machine learning classifier to identify antisemitic content to reveal patterns of online antisemitism perpetration at the source. We built statistical models to analyze the inhibiting and enabling factors of the size (number of retweets) and survival (duration of retweets) of information flows in addition to the production of online antagonistic content. Despite observing high temporal variability, we found that only a small proportion (0.7%) of the content was antagonistic. We also found that antagonistic content was less likely to disseminate in size or survive for a longer period. Information flows from antisemitic agents on Twitter gained less traction, while information flows emanating from capable and willing counter-speech actors—that is, Jewish organizations—had a significantly higher size and survival rates. This study is the first to demonstrate that Sampson’s classic sociological concept of collective efficacy can be observed on social media (SM). Our findings suggest that when organizations aiming to counter harmful narratives become active on SM platforms, their messages propagate further and achieve greater longevity than antagonistic messages. On SM, counter-speech posted by credible, capable and willing actors can be an effective measure to prevent harmful narratives. Based on our findings, we underline the value of the work by community organizations in reducing the propagation of cyberhate and increasing trust in SM platforms.

Ziel dieser Arbeit ist es, die Überschneidungen in der Rechtsaußenszene auf Twitter zu ermitteln und insbesondere festzustellen, inwieweit verschiedene Gruppen in der Szene tatsächlich auf die gleiche Weise über dieselben Themen sprechen, trotz offensichtlicher Unterschiede im Tonfall und den zugrunde liegenden Ideologien. Wir verwenden einen Mischmethodenansatz: Zunächst wollen wir einen oberflächlichen Einblick in die extrem rechte Szene auf Twitter in ganz Europa gewinnen, und dann führen wir bei drei ausgewählten Gruppen in Deutschland eine detaillierte Frame-Analyse aus, um die impliziten und expliziten Überschneidungen zwischen ihnen zu bestimmen und so die quantitativen Angaben zu ergänzen, damit die Bedeutung detailliert analysiert werden kann.

National governments now recognize online hate speech as a pernicious social problem. In the wake of political votes and terror attacks, hate incidents online and offline are known to peak in tandem. This article examines whether an association exists between both forms of hate, independent of ‘trigger’ events. Using Computational Criminology that draws on data science methods, we link police crime, census and Twitter data to establish a temporal and spatial association between online hate speech that targets race and religion, and offline racially and religiously aggravated crimes in London over an eight-month period. The findings renew our understanding of hate crime as a process, rather than as a discrete event, for the digital age.