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This article considers claims made by various authors that the use of filtering and recommendation technology on the Internet can deprive certain communities of feedback, and instead amplify groups’ viewpoints, leading to polarization of opinion across communities, and increases in extremism. The ‘echo chamber’ arguments of Cass Sunstein are taken as representative of this point of view, and examined in detail in the context of a range of research, theoretical and empirical, quantitative and qualitative, in political science and the sociology of religion, from the last quarter century. The conclusion is that the case has not been made either (a) that echo chambers are necessarily harmful, or (b) that the Internet is complicit in their formation.

Before the Islamic State in Iraq and the Levant (ISIL) leveraged the Internet into a truly modern quasi-state propaganda machine through horrendous online videos, travel handbooks, and sophisticated Twitter messengering, more humble yet highly effective precursors targeted youthful Western Muslims for radicalism, during a time when home grown plots peaked. These brash new entrants into the crowded freewheeling world of extremist cyber-haters joined racists, religious extremists of other faiths, Islamophobes, single issue proponents, as well as anti-government rhetoriticians and conspiracists. The danger from these evolving new provocateurs, then and now, is not that they represent a viewpoint that is widely shared by American Muslims. However, the earlier successful forays by extremist Salafists, firmly established the Internet as a tool to rapidly radicalize, train and connect a growing, but small number of disenfranchised or unstable young people to violence. The protections that the First Amendment provide to expression in the United States, contempt for Western policies and culture, contorted fundamentalism, and the initial successes of these early extremist Internet adopters, outlined here, paved the way for the ubiquitous and sophisticated online radicalization efforts we see today.

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.