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Demystifying the Abu Mansur Saga

This report examines the social media shutdown in the wake of the Easter Attacks in Sri Lanka, and its impacts on journalists and post-incident communal violence. By highlighting the shutdown’s limitations, social costs and impact on misinformation, this report presents key recommendations for policy-makers, journalists and other key stakeholders. This report is part of a wider project, led by the International Centre for Counter- Terrorism (ICCT) – the Hague, and funded by the EU Devco on “Mitigating the Impact of Media Reporting of Terrorism”. This project aims to produce evidence-based guidance and capacity building outputs based on original, context-sensitive research into the risks and opportunities in media reporting of terrorism and terrorist incidents. The role of media reporting on terrorism has been under investigated and is an underutilised dimension of a holistic counter-terrorism strategy. How the media reports on terrorism has the potential to impact counter-terrorism (CT) perspective positively or negatively.

Social media users, journalists, lawyers
and musicians have been prosecuted
under Article 578 of the Spanish
Criminal Code, which prohibits “glorifying
terrorism” and “humiliating the victims
of terrorism”. Although this provision
was first introduced in 2000, it is only in
recent years, following its amendment
in 2015, that prosecutions and convictions
under Article 578 have sharply risen.
The result is increasing self-censorship
and a broader chilling effect on freedom
of expression in Spain.

This article discusses the emergence of jihadist social media strategies, explains how the Syrian jihadist group Jabhat al-Nusra (JN) has used Twitter to disseminate content, and analyzes content shared by JN. Using an interdisciplinary approach to the analysis of jihadist propaganda, this article demonstrates how jihadist groups are using Twitter to disseminate links to video content shot on the battlefield in Syria and posted for mass consumption on YouTube.

The aim of this thesis is to enhance our understanding of the nature and dynamics of Islamophobic hate speech amongst followers of UK political parties on Twitter. I study four parties from across the political spectrum: the BNP, UKIP, the Conservatives and Labour. I make three main contributions. First, I define Islamophobia in terms of negativity and generality, thus making a robust, theoretically-informed contribution to the study of a deeply contested concept. This argument informs the second contribution,
which is methodological: I create a multi-class supervised machine learning classifier for Islamophobic hate speech. This distinguishes between weak and strong varieties and can be applied robustly and at scale. My third contribution is theoretical. Drawing together my substantive findings, I argue that Islamophobic tweeting amongst followers of UK parties can be characterised as a wind system which contains Islamophobic hurricanes. This analogy captures the complex, heterogeneous dynamics underpinning Islamophobia on Twitter, and highlights its devastating effects. I also show that Islamist terrorist attacks drive Islamophobia, and that this affects followers of all four parties studied here. I use this finding to extend the theory of cumulative extremism beyond extremist groups to include individuals with mainstream affiliations. These contributions feed into ongoing academic, policymaking and activist discussions about Islamophobic hate speech in both social media and UK politics.

Islamic State (IS) terrorist networks in Syria and Iraq pose threats to national security. IS’ exploitation of social media and digital strategy plays a key role in its global dissemination of propaganda, radicalization, and recruitment. However, systematic research on Islamic terrorist communication via social media is limited. Our research investigates the question: How do IS members/supporters use Twitter for terrorism communication: propaganda, radicalization, and recruitment? Theoretically, we drew on microeconomic network theories to develop a theoretical framework for multi-sided Twitter networks in the global Islamic terrorist communication environment. Empirically, we collected 3,039 tweets posted by @shamiwitness who was identified in prior research as “an information disseminator” for the IS cause. Methodologically, we performed social network analysis, trend and content analyses of the tweet data. We find strong evidence for Shamiwitness-intermediated multi-sided Twitter networks of international mass media, regional Arabic mass media, IS fighters, and IS sympathizers, supporting the framework’s utility.