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Going beyond political ideology: A computational analysis of civic trust in science

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3ATDV2XSLW" target="_blank" >RIV/00216208:11320/25:TDV2XSLW - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191344233&doi=10.1177%2f09636625241246076&partnerID=40&md5=f9e2614aef9993056cc12fca86fdff29" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191344233&doi=10.1177%2f09636625241246076&partnerID=40&md5=f9e2614aef9993056cc12fca86fdff29</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1177/09636625241246076" target="_blank" >10.1177/09636625241246076</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Going beyond political ideology: A computational analysis of civic trust in science

  • Original language description

    Numerous studies have been conducted to identify the factors that predict trust/distrust in science. However, most of these studies are based on closed-ended survey research, which does not allow researchers to gain a more nuanced understanding of the phenomenon. This study integrated survey analysis conducted within the United States with computational text analysis to reveal factors previously obscured by traditional survey methodologies. Even after controlling for political ideology—which has been the most significant explanatory factor in determining trust in science within a survey framework—we found those with concerns over boundary-crossing (i.e. concerns or perceptions that science overlaps with politics, the government, and funding) were less likely to trust science than their counterparts. © The Author(s) 2024.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Public Understanding of Science

  • ISSN

    0963-6625

  • e-ISSN

  • Volume of the periodical

    33

  • Issue of the periodical within the volume

    8

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    129

  • Pages from-to

    940-1068

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85191344233