Report |
Right-Wing Extremists’ Persistent Online Presence: History and Contemporary Trends
View Abstract
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.
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2019 |
Conway, M., Scrivens, R. and Macnair, L. |
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Journal Article |
Measuring Online Affects in a White Supremacy Forum
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Since the inception of the World Wide Web, security agencies, researchers, and analysts have focused much of their attention on the sentiment found on hate-inspired web-forums. Here, one of their goals has been to detect and measure users’ affects that are expressed in the forums as well as identify how users’ affects change over time. Manual inspection has been one way to do this; however, as the number of discussion posts and sub-forums increase, there has been a growing need for an automated system that can assist humans in their analysis. The aim of this paper, then, is to detect and measure a number of affects expressed in written text on Stormfront.org, the most visited hate forum on the Web. To do this, we used a machine learning approach where we trained a model to recognize affects on three sub-forums: Ideology and Philosophy, For Stormfront Ladies Only, and Stormfront Ireland. The training data consisted of manual annotated data and the affects we focused on were racism, aggression, and worries. Results indicate that even though measuring affects is a subjective process, machine learning is a promising way forward to analyze and measure the presence of different affects on hate forums.
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2016 |
Figea, L., Kaati, L,. and Scrivens, R. |
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Journal Article |
The Role of the Internet in Facilitating Violent Extremism: Insights from Former Right-Wing Extremists
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While a growing body of evidence suggests that the Internet is a key facilitator of violent extremism, research in this area has rarely incorporated former extremists’ experiences with the Internet when they were involved in violent extremism. To address this gap, in-depth interviews were conducted with ten Canadian former right-wing extremists who were involved in violent racist skinhead groups, with interview questions provided by thirty Canadian law enforcement officials and ten community activists. Participants were asked about their use of the Internet and the connection between their on- and offline worlds during their involvement in the violent right-wing extremist movement. Overall, our study findings highlight the interplay between the Internet and violent extremism as well as the interactions between the on- and offline worlds of violent extremists. We conclude with a discussion of study limitations and avenues for future research.
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2020 |
Gaudette, T., Scrivens, R. and Venkatesh, V. |
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Journal Article |
Upvoting Extremism: Collective Identity Formation and the Extreme Right on Reddit
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Since the advent of the Internet, right-wing extremists and those who subscribe to extreme right views have exploited online platforms to build a collective identity among the like-minded. Research in this area has largely focused on extremists’ use of websites, forums, and mainstream social media sites, but overlooked in this research has been an exploration of the popular social news aggregation site Reddit. The current study explores the role of Reddit’s unique voting algorithm in facilitating “othering” discourse and, by extension, collective identity formation among members of a notoriously hateful subreddit community, r/The_Donald. The results of the thematic analysis indicate that those who post extreme-right content on r/The_Donald use Reddit’s voting algorithm as a tool to mobilize like-minded members by promoting extreme discourses against two prominent out-groups: Muslims and the Left. Overall, r/The_Donald’s “sense of community” facilitates identity work among its members by creating an environment wherein extreme right views are continuously validated.
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2020 |
Gaudette, T., Scrivens, R., Davies, G. and Frank, R. |
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VOX-Pol Blog |
Examining Incel Subculture on Reddit
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2022 |
Helm, B., Scrivens, R., Holt, T. J., Chermak, S. M. and Frank, R. |
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Journal Article |
Examining incel subculture on Reddit
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The online presence of incels, or involuntary celibates, has been an increasing security concern for researchers, practitioners, and policymakers in recent years, given that self-identified incels – including Alek Minassian and Elliot Rodger – used the Internet to disseminate incel ideology and manifestos prior to committing acts of violence. However, little is empirically known about the incel movement in general or their online communities in particular. The present study draws from a set of comments from r/Incels, a now defunct but once popular subreddit dedicated to the incel community, and compares the most highly-upvoted comments (n = 500) to a random set of other comments (n = 500) in the subreddit. This qualitative analysis focuses on identifying subcultural discourse that is widely supported and engaged with by members of the online community and the extent to which incels utilize this online space to reaffirm deviant behavior. Our study underscores the importance, as well as the difficulties, of drawing from online sources like web-forums to generate new knowledge on deviant communities and behaviors. We conclude with a discussion of the implications of this analysis, its limitations, and avenues for future research.
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2022 |
Helm, B., Scrivens, R., Holt, T.J., Chermak, S. and Frank, R. |
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