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The use of “Big Data” in policy and decision making is a current topic of debate. The 2013 murder of Drummer Lee Rigby in Woolwich, London, UK led to an extensive public reaction on social media, providing the opportunity to study the spread of online hate speech (cyber hate) on Twitter. Human annotated Twitter data was collected in the immediate aftermath of Rigby’s murder to train and test a supervised machine learning text classifier that distinguishes between hateful and/or antagonistic responses with a focus on race, ethnicity, or religion; and more general responses. Classification features were derived from the content of each tweet, including grammatical dependencies between words to recognize “othering” phrases, incitement to respond with antagonistic action, and claims of well-founded or justified discrimination against social groups. The results of the classifier were optimal using a combination of probabilistic, rule-based, and spatial-based classifiers with a voted ensemble meta-classifier. We demonstrate how the results of the classifier can be robustly utilized in a statistical model used to forecast the likely spread of cyber hate in a sample of Twitter data. The applications to policy and decision making are discussed.

The Council of Europe commissioned to the Swiss Institute of Comparative Law a comparative study in respect of filtering, blocking and take-down of illegal content on the Internet in the 47 member States of the Organisation. This study describes and assesses the legal framework but also the relevant case-law and practice in the field. It is divided in two main parts: country reports and comparative considerations.

The successful recruitment strategies of the self-proclaimed Islamic State of Iraq and Syria (Daesh) has become a serious challenge for the international community. Daesh employs a multifaceted online media strategy to recruit targeted demographics. The Carter Center (TCC) is working to counter Daesh’s recruitment propaganda efforts by undertaking in-depth analysis of this group’s print and social media publications. This will be followed by a series of workshops in partnership with religious and local community leaders. TCC has developed a detailed coding methodology allowing for structured study of each individual issue of Daesh s online magazine, Dabiq. Currently, Issues 1 – 12 have been examined, categorizing 31 separate variables broken down by text, context, imagery, and magazine evolution. This qualitative and quantitative methodological analysis enables the study of shifting themes, trends, and recruitment strategies. This report will discuss the significance of Dabiq as a compliment to Daesh’s social media campaign, Daesh’s re-appropriation of international media, and its repurposing of this material to enhance its own recruitment strategies.

In opdracht van het Wetenschappelijk Onderzoek- en Documentatiecentrum (WODC) van het ministerie van Veiligheid en Justitie (VenJ) heeft Coosto een verkennende studie uitgevoerd naar mogelijke nieuwe social media toepassingen voor VenJ. Deze studie beoogt primair nieuwe toepassingen in kaart te brengen of bestaande toepassingen te herformuleren zodat ze bruikbaar zijn voor VenJ. Het daadwerkelijk ontwikkelen / bouwen van nieuwe toepassingen behoort niet tot deze opdracht.

Counter-narratives are often claimed to be the ingenuous solution for the prevention of extremism and radicalisation. They are intended to dismantle extremism’s propaganda or create positive alternatives to its communities. But the effect is dubious and may, at worst, lead to the opposite result. Therefore, education and critical thinking are the best form of prevention.

It is commonly recognized that social media presents vast new opportunities for terrorist groups seeking to radicalize audiences. However, few scholars have studied the actual mechanisms by which radicalizing messages are delivered to those audiences. Within this paper, the author explores one key aspect of the phenomenon of ‘jihadi cool’ – that is, the rendering of pro-Islamic terrorism into something hip and trendy among online audiences. Discussed is the use of political jamming: a subversive, satirical activity that draws on humor to reinforce ideological messages. The opportunity for countering these messages through the same technique is also considered.