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Hidden order across online extremist movements can be disrupted by nudging collective chemistry
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134557/ https://www.ncbi.nlm.nih.gov/pubmed/34011970 http://dx.doi.org/10.1038/s41598-021-89349-3 |
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author | Velásquez, N. Manrique, P. Sear, R. Leahy, R. Restrepo, N. Johnson Illari, L. Lupu, Y. Johnson, N. F. |
author_facet | Velásquez, N. Manrique, P. Sear, R. Leahy, R. Restrepo, N. Johnson Illari, L. Lupu, Y. Johnson, N. F. |
author_sort | Velásquez, N. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8134557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81345572021-05-25 Hidden order across online extremist movements can be disrupted by nudging collective chemistry Velásquez, N. Manrique, P. Sear, R. Leahy, R. Restrepo, N. Johnson Illari, L. Lupu, Y. Johnson, N. F. Sci Rep Article 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. Nature Publishing Group UK 2021-05-19 /pmc/articles/PMC8134557/ /pubmed/34011970 http://dx.doi.org/10.1038/s41598-021-89349-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Velásquez, N. Manrique, P. Sear, R. Leahy, R. Restrepo, N. Johnson Illari, L. Lupu, Y. Johnson, N. F. Hidden order across online extremist movements can be disrupted by nudging collective chemistry |
title | Hidden order across online extremist movements can be disrupted by nudging collective chemistry |
title_full | Hidden order across online extremist movements can be disrupted by nudging collective chemistry |
title_fullStr | Hidden order across online extremist movements can be disrupted by nudging collective chemistry |
title_full_unstemmed | Hidden order across online extremist movements can be disrupted by nudging collective chemistry |
title_short | Hidden order across online extremist movements can be disrupted by nudging collective chemistry |
title_sort | hidden order across online extremist movements can be disrupted by nudging collective chemistry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134557/ https://www.ncbi.nlm.nih.gov/pubmed/34011970 http://dx.doi.org/10.1038/s41598-021-89349-3 |
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