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How social networks affect the repression-dissent puzzle

Scholars have offered multiple theoretical resolutions to explain inconsistent findings about the relationship of state repression and protests, but this repression-dissent puzzle remains unsolved. We simulate the spread of protest on social networks to suggest that the repression-dissent puzzle ari...

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Detalles Bibliográficos
Autores principales: Steinert-Threlkeld, Shane, Steinert-Threlkeld, Zachary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101725/
https://www.ncbi.nlm.nih.gov/pubmed/33956806
http://dx.doi.org/10.1371/journal.pone.0250784
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author Steinert-Threlkeld, Shane
Steinert-Threlkeld, Zachary
author_facet Steinert-Threlkeld, Shane
Steinert-Threlkeld, Zachary
author_sort Steinert-Threlkeld, Shane
collection PubMed
description Scholars have offered multiple theoretical resolutions to explain inconsistent findings about the relationship of state repression and protests, but this repression-dissent puzzle remains unsolved. We simulate the spread of protest on social networks to suggest that the repression-dissent puzzle arises from the nature of statistical sampling. Even though the paper’s simulations construct repression so it can only decrease protest size, the strength of repression sometimes correlates with a decrease, increase, or no change in protest size, regardless of the type of network or sample size chosen. Moreover, the results are most contradictory when the repression rate most closely matches that observed in real-world data. These results offer a new framework for understanding state and protester behavior and suggest the importance of collecting network data when studying protests.
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spelling pubmed-81017252021-05-17 How social networks affect the repression-dissent puzzle Steinert-Threlkeld, Shane Steinert-Threlkeld, Zachary PLoS One Research Article Scholars have offered multiple theoretical resolutions to explain inconsistent findings about the relationship of state repression and protests, but this repression-dissent puzzle remains unsolved. We simulate the spread of protest on social networks to suggest that the repression-dissent puzzle arises from the nature of statistical sampling. Even though the paper’s simulations construct repression so it can only decrease protest size, the strength of repression sometimes correlates with a decrease, increase, or no change in protest size, regardless of the type of network or sample size chosen. Moreover, the results are most contradictory when the repression rate most closely matches that observed in real-world data. These results offer a new framework for understanding state and protester behavior and suggest the importance of collecting network data when studying protests. Public Library of Science 2021-05-06 /pmc/articles/PMC8101725/ /pubmed/33956806 http://dx.doi.org/10.1371/journal.pone.0250784 Text en © 2021 Steinert-Threlkeld, Steinert-Threlkeld https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Steinert-Threlkeld, Shane
Steinert-Threlkeld, Zachary
How social networks affect the repression-dissent puzzle
title How social networks affect the repression-dissent puzzle
title_full How social networks affect the repression-dissent puzzle
title_fullStr How social networks affect the repression-dissent puzzle
title_full_unstemmed How social networks affect the repression-dissent puzzle
title_short How social networks affect the repression-dissent puzzle
title_sort how social networks affect the repression-dissent puzzle
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101725/
https://www.ncbi.nlm.nih.gov/pubmed/33956806
http://dx.doi.org/10.1371/journal.pone.0250784
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