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

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 analysi...

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Bibliographic Details
Published in:Public understanding of science (Bristol, England) England), 2024-11, Vol.33 (8), p.1046-1062
Main Authors: Lee, Sangwon, Taylor, Marshall A., Ahmed, Saifuddin, Moon, Won-Ki
Format: Article
Language:English
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Summary: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.
ISSN:0963-6625
1361-6609
1361-6609
DOI:10.1177/09636625241246076