Online Library

Researchers have previously explored how right-wing extremists build a collective identity online by targeting their perceived “threat,” but little is known about how this “us” versus “them” dynamic evolves over time. This study uses a sentiment analysis-based algorithm that adapts criminal career measures, as well as semi-parametric group-based modeling, to evaluate how users’ anti-Semitic, anti-Black, and anti-LGBTQ posting behaviors develop on a sub-forum of the most conspicuous white supremacy forum. The results highlight the extent to which authors target their key adversaries over time, as well as the applicability of a criminal career approach in measuring radical posting trajectories online.

While it has become increasingly common for researchers, practitioners and policymakers to draw from the insights of former extremists to combat violent extremism, overlooked in this evolving space has been an in-depth look at how formers perceive such efforts. To address this gap, interviews were conducted with 10 Canadian former right-wing extremists based on a series of questions provided by 30 Canadian law enforcement officials and 10 community activists. Overall, formers suggest that combating violent extremism requires a multidimensional response, largely consisting of support from parents and families, teachers and educators, law enforcement officials, and other credible formers.

Many researchers, practitioners, and policy-makers continue to raise questions about the role of the Internet in facilitating violent extremism and terrorism. A surge in research on this issue notwithstanding, relatively few empirically grounded analyses are yet available. This chapter provides researchers with five key suggestions for progressing knowledge on the role of the Internet in facilitating violent extremism and terrorism so that we may be better placed to determine the significance of online content and activity in the latter going forward. These five suggestions relate to (1) collecting primary data across multiple types of populations; (2) making archives of violent extremist online content accessible for use by researchers and on user-friendly platforms; (3) outreaching beyond terrorism studies to become acquainted with, for example, the Internet studies literature and engaging in interdisciplinary research with, for example, computer scientists; (4) including former extremists in research projects, either as study participants or project collaborators; and (5) drawing connections between the on- and offline worlds of violent extremists.

This policy brief traces how Western right-wing extremists have exploited the power of the internet from early dial-up bulletin board systems to contemporary social media and messaging apps. It demonstrates how the extreme right has been quick to adopt a variety of emerging online tools, not only to connect with the like-minded, but to radicalise some audiences while intimidating others, and ultimately to recruit new members, some of whom have engaged in hate crimes and/or terrorism. Highlighted throughout is the fast pace of change of both the internet and its associated platforms and technologies, on the one hand, and the extreme right, on the other, as well as how these have interacted and evolved over time. Underlined too is the persistence, despite these changes, of rightwing extremists’ online presence, which poses challenges for effectively responding to this activity moving forward.

The media and communication strategies of two particular ideologies are focused on herein: right-wing extremists and violent jihadis – albeit an array of others is referred to also (e.g. nationalist-separatists such as the Irish Republican Army (IRA) and violent Islamists such as Hezbollah). Violent jihadists are inspired by Sunni Islamist-Salafism and seek to establish an Islamist society governed by their version of Islamic or Sharia law imposed by violence (Moghadam, 2008). Right-wing extremists may also subscribe to some radical interpretation of religion, but unlike those inspired by radical Islam, many extreme right adherents are not inspired by religious beliefs per se. Instead, what binds these actors is a racially, ethnically, and sexually defined nationalism, which is typically framed in terms of white power and grounded in xenophobic and exclusionary understandings of the perceived threats posed by such groups as non-whites, Jews, Muslims, immigrants, homosexuals, and feminists. Here the state is perceived as an illegitimate power serving the interests of all but the white man and, as such, right-wing extremists are willing to assume both an offensive and defensive stance in the interests of “preserving” their heritage and their “homeland” (Perry & Scrivens, 2016). With regard to the chapter’s structuring, the following sections are ordered chronologically, treating, in turn, early low-tech communication methods or what we term ‘pre-media,’ followed by other relatively low-tech tools, such as print and photocopying. The high-tech tools reviewed are film, radio, and television, followed by the Internet, especially social media.

In recent years, researchers have shown a vested interest in developing advanced information technologies, machine-learning algorithms, and risk-assessment tools to detect and analyze radical content online, with increased attention on identifying violent extremists or measuring digital pathways of violent radicalization. Yet overlooked in this evolving space has been a systematic examination of what constitutes radical posting behaviors in general. This study uses a sentiment analysis-based algorithm that adapts criminal career measures – and is guided by communication research on social influence – to develop and describe three radical posting behaviors (high-intensity, high-frequency, and high-duration) found on a sub-forum of the most conspicuous right-wing extremist forum. The results highlight the multi-dimensional nature of radical right-wing posting behaviors, many of which may inform future risk factor frameworks used by law enforcement and intelligence agencies to identify credible threats online.