{"title":"How representative surveys measure public (dis)trust in science: A systematisation and analysis of survey items and open-ended questions","authors":"Anne Reif, Lars Guenther","doi":"10.1080/21515581.2022.2075373","DOIUrl":null,"url":null,"abstract":"ABSTRACT Over the past several years, scholars have debated the public’s (dis)trust in science. Since the ‘science and society’ paradigm of science communication has defined the crisis of trust between science and the public as a major concern, this article is interested in how public (dis)trust in science is measured in representative surveys of public perceptions of science and technology. The goal is to systematise survey measures using a theoretical model of (dis)trust in science as a multidimensional variable that is relevant to the relationship between the public, (intermediaries) and science. A systematic review of items and open-ended questions (n = 736) used in 20 representative surveys from various countries was conducted. The results show that surveys rarely measure distrust in science, and instead focus on trust in science – mainly at the macro-level – rather than trust in scientists (micro-level) or scientific organisations (meso-level). Benevolence is the dimension of trust considered most frequently; the media is predominantly included as a general type of contact with science without a direct link to (dis)trust. Hence, representative surveys cover a number of different aspects of public (dis)trust in science. However, there is room for improvement. Thus, this paper concludes with recommendations for future measures.","PeriodicalId":44602,"journal":{"name":"Journal of Trust Research","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Trust Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/21515581.2022.2075373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 2
Abstract
ABSTRACT Over the past several years, scholars have debated the public’s (dis)trust in science. Since the ‘science and society’ paradigm of science communication has defined the crisis of trust between science and the public as a major concern, this article is interested in how public (dis)trust in science is measured in representative surveys of public perceptions of science and technology. The goal is to systematise survey measures using a theoretical model of (dis)trust in science as a multidimensional variable that is relevant to the relationship between the public, (intermediaries) and science. A systematic review of items and open-ended questions (n = 736) used in 20 representative surveys from various countries was conducted. The results show that surveys rarely measure distrust in science, and instead focus on trust in science – mainly at the macro-level – rather than trust in scientists (micro-level) or scientific organisations (meso-level). Benevolence is the dimension of trust considered most frequently; the media is predominantly included as a general type of contact with science without a direct link to (dis)trust. Hence, representative surveys cover a number of different aspects of public (dis)trust in science. However, there is room for improvement. Thus, this paper concludes with recommendations for future measures.
期刊介绍:
As an inter-disciplinary and cross-cultural journal dedicated to advancing a cross-level, context-rich, process-oriented, and practice-relevant journal, JTR provides a focal point for an open dialogue and debate between diverse researchers, thus enhancing the understanding of trust in general and trust-related management in particular, especially in its organizational and social context in the broadest sense. Through both theoretical development and empirical investigation, JTR seeks to open the "black-box" of trust in various contexts.