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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.

VOX-Pol Guest Lecture Series, Spring 2024: Data Collection in Online Terrorism and Extremism Research

There has been a growing interest among researchers, practitioners, and policymakers to analyze the online activities of extremists and terrorists. As studies in this research area have increased, various data collection techniques have emerged to address key research questions, ranging from manual extraction to computational tools to collect online information. This lecture examines the strengths and limitations of commonly used data collection methods in online terrorism and extremism research. We draw from our research experiences and highlight ethical dilemmas with collection methods in practice. We then set forth suggestions for progressing research in this space. For more information on data collection in online terrorism and extremism research, see our recent article in Studies in Conflict & Terrorism as part of a special issue on the strengths and struggles of different methods of research on radicalization, extremism, and terrorism: https://www.tandfonline.com/doi/full/10.1080/1057610X.2024.2361957?src=exp-la

Ryan Scrivens is an Assistant Professor in the School of Criminal Justice at Michigan State University. He is also an Associate Director at the International CyberCrime Research Centre at Simon Fraser University and a Research Fellow at the VOX-Pol Network of Excellence. He is the recipient of the 2022 Early Career Impact Award from the American Society of Criminology’s Division on Terrorism and Bias Crimes.

Steven Chermak is a Professor in the School of Criminal Justice at Michigan State University. He is the co-creator of several databases including the Extremist Crime Database (ECDB), the Extremist Cybercrime Database (ECCD), and The American School Shooting Study (TASSS). He is the recipient of the 2021 Distinguished Scholar Award from the American Society of Criminology’s Division on Terrorism and Bias Crimes.

VOX-Pol Blog post.

Despite the ongoing need for practitioners to identify violent extremists online before their engagement in violence offline, little is empirically known about their digital footprints generally or differences in their posting behaviors compared to their non-violent counterparts particularly – especially on high-frequency posting days. Content analysis was used to examine postings from a unique sample of violent and non-violent right-wing extremists as well as from a sample of postings within a sub-forum of the largest white supremacy forum during peak and non-peak posting days for comparison purposes. Several noteworthy posting behaviors were identified that may assist in identifying credible threats online.

VOX-Pol Blog post.

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.