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Extremist ideology as a complex contagion: the spread of far-right radicalization in the United States between 2005 and 2017

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  • Mason Youngblood

    (City University of New York
    City University of New York)

Abstract

Increasing levels of far-right extremist violence have generated public concern about the spread of radicalization in the United States. Previous research suggests that radicalized individuals are destabilized by various environmental (or endemic) factors, exposed to extremist ideology, and subsequently reinforced by members of their community. As such, the spread of radicalization may proceed through a social contagion process, in which extremist ideologies behave like complex contagions that require multiple exposures for adoption. In this study, I applied an epidemiological method called two-component spatio-temporal intensity modeling to data from 416 far-right extremists exposed in the United States between 2005 and 2017. The results indicate that patterns of far-right radicalization in the United States are consistent with a complex contagion process, in which reinforcement is required for transmission. Both social media usage and group membership enhance the spread of extremist ideology, suggesting that online and physical organizing remain primary recruitment tools of the far-right movement. In addition, I identified several endemic factors, such as poverty, that increase the probability of radicalization in particular regions. Future research should investigate how specific interventions, such as online counter-narratives to battle propaganda, may be effectively implemented to mitigate the spread of far-right extremism in the United States.

Suggested Citation

  • Mason Youngblood, 2020. "Extremist ideology as a complex contagion: the spread of far-right radicalization in the United States between 2005 and 2017," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-10, December.
    • Handle: RePEc:pal:palcom:v:7:y:2020:i:1:d:10.1057_s41599-020-00546-3
    DOI: 10.1057/s41599-020-00546-3
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    1. Smaldino, Paul E. & Turner, Matthew Adam, 2020. "Covert signaling is an adaptive communication strategy in diverse populations," SocArXiv j9wyn, Center for Open Science.
    2. Mason Youngblood & Joseph M. Stubbersfield & Olivier Morin & Ryan Glassman & Alberto Acerbi, 2023. "Negativity bias in the spread of voter fraud conspiracy theory tweets during the 2020 US election," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.

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