Researching the Radical Right: Making Use of the Digital Space and Its Challenges

Carter, Pelham; Kondor, Katherine

doi:10.1007/978-3-030-30138-5_11

Cited by 3 publications

(1 citation statement)

References 63 publications

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“…Responding to this expanding far-right digital ecosystem, scholars have largely approached the question of online mobilization by examining distinct, though interlocking, factors. Some highlight the ways that the design of digital platforms affords radicalization (Carter and Kondor, 2020;Donovan et al, 2019;Koehler, 2014;Marwick and Lewis, 2017;Massanari, 2015), while others have pointed to the ways that corporate logics of libertarian "free speech" and the over-reliance on artificial intelligence for moderation lead to failures in moderating extreme content (e.g., Gillespie, 2020;Jereza, 2021;Lewis, 2020). Still others attempt to identify the individual personality traits or psychological characteristics that lead users to be susceptible to these "dangerous" technological environments (Bilewicz and Soral, 2020;Koehler, 2014;Odag et al, 2019).…”

Section: Radicalization Affect and Undemocratic Cognitionmentioning

confidence: 99%

Of Humans, Machines, and Extremism: The Role of Platforms in Facilitating Undemocratic Cognition

DeCook

Forestal

2022

American Behavioral Scientist

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The events surrounding the 2020 U.S. election and the January 6 insurrection have challenged scholarly understanding of concepts like collective action, radicalization, and mobilization. In this article, we argue that online far-right radicalization is better understood as a form of distributed cognition, in which the groups’ online environment incentivizes certain patterns of behavior over others. Namely, these platforms organize their users in ways that facilitate a nefarious form of collective intelligence, which is amplified and strengthened by systems of algorithmic curation. In short, these platforms reflect and facilitate undemocratic cognition, fueled by affective networks, contributing to events like the January 6 insurrection and far-right extremism more broadly. To demonstrate, we apply this framing to a case study (the “Stop the Steal” movement) to illustrate how this framework can make sense of radicalization and mobilization influenced by undemocratic cognition.

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Section: Radicalization Affect and Undemocratic Cognitionmentioning

confidence: 99%

Of Humans, Machines, and Extremism: The Role of Platforms in Facilitating Undemocratic Cognition

DeCook

Forestal

2022

American Behavioral Scientist

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Online extremism and Islamophobic language and sentiment when discussing the COVID-19 pandemic and misinformation on Twitter

Awan

Carter

Sutch

et al. 2022

Ethnic and Racial Studies

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This paper looks at the profiles of those who engaged in Islamophobic language/extremist behaviour on Twitter during the COVID-19 pandemic. This two part analysis takes into account factors such as anonymity, membership length and postage frequency on language use, and the differences in sentiment expressed between pro-social and anti-social tweets. Analysis includes comparisons between low, moderate and high levels of anonymity, postage frequency, and membership length, allowing for differences in keyword use to be explored. Our findings suggest that increased anonymity is not associated with an increase in Islamophobic language and misinformation. The sentiment analysis indicated that emotions such as anger, disgust, fear, sadness and trust were significantly more associated with prosocial Twitter users whereas sentiments such as anticipation, joy and surprise were significantly more associated with anti-social Twitter users. In some cases evidence for joy in the suffering of others as a result of the pandemic was expressed.

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Complexities and Nuances in Radical Right Voters’ (Anti)Feminism

Off

2023

Social Politics: International Studies in Gender, State &Amp; Society

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While radical right parties commonly advance conservative gender positions, research on radical right voters’ gender attitudes remains inconclusive. To understand radical right voters’ gender attitudes, I first analyze previous research for frames that antifeminist actors commonly use to advance their arguments. I then draw on interviews with eastern German radical right voters to analyze whether and how these voters apply antifeminist frames to argue about feminist policy. I demonstrate that they use antifeminist frames to oppose mostly third-wave and recently salient feminist issues, but also support certain feminist policies, sometimes for instrumental reasons. Further, voters include particularities of their context in their arguments. Eastern Germany constitutes an atypical context, allowing for insights into voters’ (anti)feminism in a post-socialist context marked by atheism and relatively advanced gender norms. The study contributes to understanding complexities and nuances in radical right voters’ gender attitudes, and thereby to understanding cultural grievances beyond anti-immigration attitudes.

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Researching the Radical Right: Making Use of the Digital Space and Its Challenges

Cited by 3 publications

References 63 publications

Of Humans, Machines, and Extremism: The Role of Platforms in Facilitating Undemocratic Cognition

Of Humans, Machines, and Extremism: The Role of Platforms in Facilitating Undemocratic Cognition

Online extremism and Islamophobic language and sentiment when discussing the COVID-19 pandemic and misinformation on Twitter

Complexities and Nuances in Radical Right Voters’ (Anti)Feminism

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