Journal Article |
The ‘tarrant effect’: what impact did far-right attacks have on the 8chan forum?
View Abstract
This paper analyses the impact of a series of mass shootings committed in 2018–2019 by right-wing extremists on 8chan/pol, a prominent far-right online forum. Using computational methods, it offers a detailed examination of how attacks trigger shifts in both forum activity and content. We find that while each shooting is discussed by forum participants, their respective impact varies considerably. We highlight, in particular, a ‘Tarrant effect’: the considerable effect Brenton Tarrant’s attack of two mosques in Christchurch, New Zealand, had on the forum. Considering the rise in far-right terrorism and the growing and diversifying online far-right ecosystem, such interactive offline-online effects warrant the attention of scholars and security professionals.
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2020 |
Baele, S.J., Brace, L. and Coan, T.G. |
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Journal Article |
Uncovering the Far-Right Online Ecosystem: An Analytical Framework and Research Agenda
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Recent years have seen a substantial increase in far-right inspired attacks. In this context, the present article offers an analytical framework for the study of right-wing extremists’ multifaceted and fast-growing activity on the Internet. Specifically, we conceptualize the far-right online presence as a dynamic ecosystem, teasing out four major components that correspond to the different levels of analysis available to future research. We illustrate the benefits of this framework with key illustrative examples from the English-, French-, and German- speaking far-right, revealing the worrying size and breadth – but also heterogeneity – of today’s far-right online ecosystem.
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2020 |
Baele, S.J., Brace, L. and Coan, T.G. |
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Journal Article |
Variations on a Theme? Comparing 4chan, 8kun, and Other chans’ Far-Right “/pol” Boards
View Abstract
Online forums such as 4chan and 8chan have grown in notoriety following a number of high-profile attacks conducted in 2019 by right-wing extremists who used their “/pol” boards (dedicated to “politically incorrect” discussions). Despite growing academic interest in these online spaces, little is still known about them; in particular, their similarities and differences remain to be teased out, and their respective roles in fostering a certain farright subculture need to be specified. This article therefore directly compares the content and discussion pace of six different /pol boards of “chan” forums, including some that exist solely on the dark web. We find that while these boards constitute together a particular subculture, differences in terms of both rate of traffic and content demonstrate the fragmentation of this subculture. Specifically, we show that the different /pol boards can be grouped
into a three-tiered architecture based upon both at once how popular they are and how extreme their content is.
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2021 |
Baele, S.J., Brace, L. and Coan, T.G. |
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Journal Article |
Using Internet search data to examine the relationship between anti-Muslim and pro-ISIS sentiment in U.S. counties
View Abstract
Recent terrorist attacks by first- and second-generation immigrants in the United States and Europe indicate that radicalization may result from the failure of ethnic integration—or the rise of intergroup prejudice in communities where “home-grown” extremists are raised. Yet, these community-level drivers are notoriously difficult to study because public opinion surveys provide biased measures of both prejudice and radicalization. We examine the relationship between anti-Muslim and pro-ISIS (Islamic State of Iraq and Syria) Internet searches in 3099 U.S. counties between 2014 and 2016 using instrumental variable models that control for various community-level factors associated with radicalization. We find that anti-Muslim searches are strongly associated with pro-ISIS searches—particularly in communities with high levels of poverty and ethnic homogeneity. Although more research is needed to verify the causal nature of this relationship, this finding suggests that minority groups may be more susceptible to radicalization if they experience discrimination in settings where they are isolated and therefore highly visible—or in communities where they compete with majority groups for limited financial resources. We evaluate the validity of our findings using several other data sources and discuss the implications of our findings for the study of terrorism and intergroup relations, as well as immigration and counterterrorism policies.
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2018 |
Bail A. C., Merhout F., Ding P. |
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Report |
Recommending Toxicity: The role of algorithmic recommender functions on YouTube Shorts and TikTok in promoting male supremacist influencers
View Abstract
This study tracked, recorded and coded the content recommended to 10 experimental or ‘sockpuppet’ accounts on 10 blank smartphones, 5 on YouTube Shorts and 5 on TikTok. On each platform, we set up 5 types of accounts: one 16-year old boy and one 18-year old boy who sought out content typically associated with gender-normative young men (e.g. gym content, sports, video games), one 16-year old boy and one 18-year old boy who actively sought out content associated with the manosphere (e.g. Andrew Tate, anti-feminist), and one blank control account that did not deliberately seek out or engage with any particular content. The purpose of this research was to simulate and explore the digital reality of boys and young men using TikTok and YouTube Shorts, who are most likely to be targeted by the manosphere.
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2024 |
Baker, C., Ging, D. and Andreasen, M.B. |
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Report |
Toepassing Social Media Data-Analytics voor het Ministerie van Veiligheid en Justitie
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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.
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2015 |
Bakker, J., Tops, H., Nonahal, D. and Willemsen, F. |
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