Online Library

The OCCI Insight Reports equip NGO partners on an ongoing basis with the knowledge
needed to develop effective, targeted campaigns. Without access to in-depth, data-driven
insights into the fast-evolving landscape of extremist and terrorist propaganda, narratives
and networks, it is impossible to mount a proportional targeted response. Additionally, the
reports highlight recommendations for future counterspeech campaigning to address the
identified narratives. OCCI will work closely with any organisation who is interested in
piloting and implementing these recommendations.

Recent years have seen a substantial increase in far-right inspired attacks. In this context, the present article offers an analytical framework for the study of right-wing extremists’ multifaceted and fast-growing activity on the Internet. Specifically, we conceptualize the far-right online presence as a dynamic ecosystem, teasing out four major components that correspond to the different levels of analysis available to future research. We illustrate the benefits of this framework with key illustrative examples from the English-, French-, and German- speaking far-right, revealing the worrying size and breadth – but also heterogeneity – of today’s far-right online ecosystem.

Recent years have seen increased interest in the online presence of extreme right groups. Although originally composed of dedicated websites, the online extreme right milieu now spans multiple networks, including popular social media platforms such as Twitter, Facebook and YouTube. Ideally therefore, any contemporary analysis of online extreme right activity requires the consideration of multiple data sources, rather than being restricted to a single platform. We investigate the potential for Twitter to act as one possible gateway to communities within the wider online network of the extreme right, given its facility for the dissemination of content. A strategy for representing heterogeneous network data with a single homogeneous network for the purpose of community detection is presented, where these inherently dynamic communities are tracked over time. We use this strategy to discover and analyse persistent English and German language extreme right communities.

Two notable features of the current conflict in Syria and Iraq are the number of foreign fighters from western countries fighting for Sunni militant organisations, and the use of the Internet and social media by some extremist groups to disseminate propaganda material. This article explores how the group which refers to itself as Islamic State and an affiliated British group, Rayat al Tawheed, deploy combinations of images and text which serve as bonding icons to rally supporters. The data consists of the English language edition of ISIS’s online magazine Dabiq and online materials produced by Rayat al Tawheed. The results suggest that ISIS and Rayat al Tawheed adopt similar but different iconisation strategies. While ISIS adopts a global strategy to present a unified world view utilising a range of ISIS values in its iconisation, Rayat al Tawheed foregrounds jihad using strategies specifically targeting young, English-speaking men of Islamic/Arab backgrounds.

As the body of research on abusive language detection and analysis grows, there is a need for critical consideration of the relationships between different subtasks that have been grouped under this label. Based on work on hate speech, cyberbullying, and online abuse we propose a typology that captures central similarities and differences between subtasks and we discuss its implications for data annotation and feature construction. We emphasize the practical actions that can be taken by researchers to best approach their abusive language detection subtask of interest.

The monograph focuses on public support for insurgency and terrorism and how it can be influenced. It is organised around the testing and refinement of conceptual models that seek to integrate much of what is known from relevant social science about public support.