How social networks affect the repression-dissent puzzle.

Steinert-Threlkeld, Shane; Steinert-Threlkeld, Zachary

Steinert-Threlkeld, Shane; Steinert-Threlkeld, Zachary.

Afiliación

Steinert-Threlkeld S; Department of Linguistics, University of Washington, Seattle, WA, United States of America.
Steinert-Threlkeld Z; Department of Public Policy, University of California-Los Angeles, Los Angeles, CA, United States of America.

PLoS One ; 16(5): e0250784, 2021.

Article en En | MEDLINE | ID: mdl-33956806

RESUMEN

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.

Asunto(s)

Disentimientos y Disputas; Red Social; Humanos; Política

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Disentimientos y Disputas / Red Social Aspecto: Determinantes_sociais_saude Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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