Literature DB >> 34011970

Hidden order across online extremist movements can be disrupted by nudging collective chemistry.

N Velásquez1, P Manrique2, R Sear3, R Leahy1,4, N Johnson Restrepo1,4, L Illari5, Y Lupu6, N F Johnson7,8.   

Abstract

Disrupting the emergence and evolution of potentially violent online extremist movements is a crucial challenge. Extremism research has analyzed such movements in detail, focusing on individual- and movement-level characteristics. But are there system-level commonalities in the ways these movements emerge and grow? Here we compare the growth of the Boogaloos, a new and increasingly prominent U.S. extremist movement, to the growth of online support for ISIS, a militant, terrorist organization based in the Middle East that follows a radical version of Islam. We show that the early dynamics of these two online movements follow the same mathematical order despite their stark ideological, geographical, and cultural differences. The evolution of both movements, across scales, follows a single shockwave equation that accounts for heterogeneity in online interactions. These scientific properties suggest specific policies to address online extremism and radicalization. We show how actions by social media platforms could disrupt the onset and 'flatten the curve' of such online extremism by nudging its collective chemistry. Our results provide a system-level understanding of the emergence of extremist movements that yields fresh insight into their evolution and possible interventions to limit their growth.

Entities:  

Year:  2021        PMID: 34011970     DOI: 10.1038/s41598-021-89349-3

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  13 in total

1.  Experimental evidence for tipping points in social convention.

Authors:  Damon Centola; Joshua Becker; Devon Brackbill; Andrea Baronchelli
Journal:  Science       Date:  2018-06-08       Impact factor: 47.728

2.  New online ecology of adversarial aggregates: ISIS and beyond.

Authors:  N F Johnson; M Zheng; Y Vorobyeva; A Gabriel; H Qi; N Velasquez; P Manrique; D Johnson; E Restrepo; C Song; S Wuchty
Journal:  Science       Date:  2016-06-16       Impact factor: 47.728

3.  Modeling Echo Chambers and Polarization Dynamics in Social Networks.

Authors:  Fabian Baumann; Philipp Lorenz-Spreen; Igor M Sokolov; Michele Starnini
Journal:  Phys Rev Lett       Date:  2020-01-31       Impact factor: 9.161

4.  Hidden resilience and adaptive dynamics of the global online hate ecology.

Authors:  N F Johnson; R Leahy; N Johnson Restrepo; N Velasquez; M Zheng; P Manrique; P Devkota; S Wuchty
Journal:  Nature       Date:  2019-08-21       Impact factor: 49.962

5.  Understanding individual human mobility patterns.

Authors:  Marta C González; César A Hidalgo; Albert-László Barabási
Journal:  Nature       Date:  2008-06-05       Impact factor: 49.962

6.  Intergroup aggression in chimpanzees and war in nomadic hunter-gatherers: evaluating the chimpanzee model.

Authors:  Richard W Wrangham; Luke Glowacki
Journal:  Hum Nat       Date:  2012-03

7.  Collective action and the collaborative brain.

Authors:  Sergey Gavrilets
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

8.  The Base Rate Study: Developing Base Rates for Risk Factors and Indicators for Engagement in Violent Extremism.

Authors:  Caitlin Clemmow; Sandy Schumann; Nadine L Salman; Paul Gill
Journal:  J Forensic Sci       Date:  2020-01-30       Impact factor: 1.832

9.  The developmental dynamics of terrorist organizations.

Authors:  Aaron Clauset; Kristian Skrede Gleditsch
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

10.  Bots increase exposure to negative and inflammatory content in online social systems.

Authors:  Massimo Stella; Emilio Ferrara; Manlio De Domenico
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-20       Impact factor: 11.205

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