Abstract
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.
Original language | American English |
---|---|
Journal | Political Science: Faculty Publications and Other Works |
Volume | 67 |
Issue number | 5 |
DOIs | |
State | Published - May 1 2023 |
Keywords
- undemocratic cognition
- online extremism
- radicalization
- publics
- Stop the Steal
Disciplines
- Political Science