4.6 Article

Psychological Drivers of Individual Differences in Risk Perception: A Systematic Case Study Focusing on 5G

期刊

PSYCHOLOGICAL SCIENCE
卷 32, 期 10, 页码 1592-1604

出版社

SAGE PUBLICATIONS INC
DOI: 10.1177/0956797621998312

关键词

risk perception; individual differences; modeling; 5G; radiation; open data; open materials; preregistered

资金

  1. Swiss Federal Office for the Environment
  2. Swiss National Science Foundation [PZ00P1_ 174042]

向作者/读者索取更多资源

This study investigated the drivers of people's perceptions of novel risks and found that hazard-related factors such as trust and dread, as well as person-specific factors like electromagnetic hypersensitivity, were closely associated with risk perceptions and predictive of policy-related attitudes. An experiment based on a national expert report on 5G highlighted the links between changes in psychological drivers and perceived risk, offering potential targets for future policy interventions.
What drives people's perceptions of novel risks, and how malleable are such risk perceptions? Psychological research has identified multiple potential drivers of risk perception, but no studies have yet tested within a unified analytic framework how well each of these drivers accounts for individual differences in large population samples. To provide such a framework, I harnessed the deployment of 5G-the latest generation of cellular network technology. Specifically, I conducted a multiverse analysis using a representative population sample in Switzerland (Study 1; N = 2,919 individuals between 15 and 94 years old), finding that interindividual differences in risk perceptions were strongly associated with hazard-related drivers (e.g., trust in the institutions regulating 5G, dread) and person-specific drivers (e.g., electromagnetic hypersensitivity)-and strongly predictive of people's policy-related attitudes (e.g., voting intentions). Further, a field experiment based on a national expert report on 5G (N = 839 individuals in a longitudinal sample between 17 and 79 years old) identified links between intraindividual changes in psychological drivers and perceived risk, thus highlighting potential targets for future policy interventions.

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