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In recent decades, political parties espousing extreme nationalist, xenophobic, and even outright racist platforms have enjoyed variable success in national elections across Europe. While vibrant research literature has sought to better understand the sources of support for such parties, remarkably little attention has been paid to the interplay between parties and the broader social networks of extremism in which they are embedded. To remedy this deficiency, the present study examines the relations between far-right parliamentary parties and their extra-parliamentary networks. One level of analysis tests whether there is a relationship between a party’s position within a network and its sustainability. Social network analysis is employed to assess the nature and structure of ties between Belgian organizations online. In addition, systematic textual analysis of website content is used to determine how a party ideological position within the network impacts its sustainability. The second level of analysis is a qualitative study based on in-depth interviews with members of the Flemish nationalist organization in order to better understand how actors experience social networks. Evidence suggests that the most sustainable parties are those that have dense connections with other nationalist organizations. Mapping relations between far-right parties that compete openly within the rules of institutionalized democracy and their wider social networks can provide important policy-relevant insight into contemporary challenges posed by illiberal forces.

Hate groups are increasingly using multiple social media platforms to promote extremist ideologies. Yet we know little about their communication practices across platforms. How do hate groups (or “in-groups”), frame their hateful agenda against the targeted group or the “out-group?” How do they share information? Utilizing “framing” theory from social movement research and analyzing domains in the shared links, we juxtapose the Facebook and Twitter communication of 72 Southern Poverty Law Center (SPLC) designated hate groups spanning five hate ideologies. Our findings show that hate groups use Twitter for educating the audience about problems with the out-group, maintaining positive self-image by emphasizing in-group’s high social status, and for demanding policy changes to negatively affect the out-group. On Facebook, they use fear appeals, call for active participation in group events (membership requests), all while portraying themselves as being oppressed by the out-group and failed by the system. Our study unravels the ecosystem of cross-platform communication by hate groups, suggesting that they use Facebook for group radicalization and recruitment, while Twitter for reaching a diverse follower base.

The global war on terror (“GWOT”) is being fought on many levels. In addition to traditional terror and counterterror activity, both sides are engaged in a public relations and propaganda war, employing the media, willingly and unwillingly, to support their positions. Hovering over these war campaigns are information technologies, which include the Internet. This article provides an introduction to various online content concealing practices that have been employed by those seeking to conceal or limit access to information on the Internet, including terrorist organizations. Further, there is a discussion on tracking and monitoring of website visitors. After reviewing open source information and websites, this article examines techniques and technologies that are easily available to terrorist organizations — foreign and domestic — whose structure can be obtained through Internet websites. The article then turns to a discussion of the legal issues posed by active and passive website monitoring techniques.

This report offers a preliminary analysis of the effectiveness of network disruptions in achieving one specific outcome: tackling terrorist violence. It analyses the relationship between network disruptions and deaths and injuries from terrorist attacks to determine whether there is support for the commonly made argument that network disruptions are an important counterterrorism tactic. Using a panel dataset of daily incidents of national-level network disruptions and terrorist attacks globally between 2016 and 2019, a fixed effects regression model shows that national-level network disruptions are not correlated with the number of people killed or injured in terrorist attacks. In addition, there is no correlation between a ban on social media platforms – specifically Facebook, Twitter and WhatsApp – and deaths or injuries from terrorist violence. This analysis has some limitations that make it difficult to make a causal claim, such as the non-random assignment of the treatment (that is, network disruptions) and the absence of a control variable to capture increased security around network disruptions. In general, these findings offer another perspective on the debate on network shutdowns, which often centres on the implications of shutdowns for human rights and democratic engagement and does not typically delve into empirical evidence on what network shutdowns can or cannot accomplish.

This project examines the uses of social media for policing domestic extremism and
disorder in the UK. The collection and analysis of social media data for the purposes
of policing forms part of a broader shift from ‘reactive’ to ‘proactive’ forms of
governance in which state bodies engage in big data analysis to predict, preempt and
respond in real time to a range of social problems. However, there is a lack of
research that accounts for the ways in which different state bodies are making use of
big data, and how big data is changing the way states research, prioritize and act in
relation to social and political issues.