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dc.creatorFacciani, Matthew
dc.creatorLazić, Aleksandra
dc.creatorViggiano, Gracemarie
dc.creatorMcKay, Tara
dc.date.accessioned2023-06-12T14:11:04Z
dc.date.available2026-06-02
dc.date.issued2023
dc.identifier.urihttp://reff.f.bg.ac.rs/handle/123456789/4552
dc.description.abstractPolitical polarization is growing rapidly in the United States and has been linked to politicized public health issues including vaccination. Political homogeneity among one's interpersonal relationships may predict polarization levels and partisan bias. In this study, we analyzed if political network structure predicted partisan beliefs about the COVID-19 vaccine, beliefs about vaccines in general, and COVID-19 vaccine uptake. Personal networks were measured by whom the respondent discussed “important matters” with to obtain a list of individuals who are close to the respondent. The number of associates listed who share the political identity or vaccine status with the respondent was calculated as a measure of homogeneity. We find that having more Republicans and unvaccinated individuals in one's network predicted lower vaccine confidence whereas having more Democrats and vaccinated individuals in one's network predicted higher vaccine confidence. Exploratory network analyses revealed that non-kin others are especially impactful on vaccine attitudes when those network connections are also Republican and unvaccinated.sr
dc.language.isoensr
dc.rightsembargoedAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.sourceSocial Science & Medicinesr
dc.subjectvaccination attitudessr
dc.subjectpolitical polarizationsr
dc.subjectnetwork analysissr
dc.subjectCOVID-19sr
dc.titlePolitical network composition predicts vaccination attitudessr
dc.typearticlesr
dc.rights.licenseBY-NCsr
dc.citation.spage116004
dc.citation.volume328
dc.description.otherThis is the accepted, peer-reviewed version of the article: Facciani, M., Lazić, A., Viggiano, G., & McKay, T. (2023). Political network composition predicts vaccination attitudes. Social Science & Medicine, 328, 116004. https://doi.org/10.1016/j.socscimed.2023.116004sr
dc.identifier.doihttps://doi.org/10.1016/j.socscimed.2023.116004
dc.type.versionacceptedVersionsr


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