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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

—

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Public Understanding of Science

ISSN

0963-6625

e-ISSN

—

Svazek periodika

33

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

129

Strana od-do

940-1068

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85191344233