Predicting public trust in science: The role of basic orientations toward science, perceived trustworthiness of scientists, and experiences with science

Abstract

Scientists (and science as a whole) provide evidence and advice for societal problem solving and collective decision-making. For this advice to be heard, the public must be willing to trust science, where “trust” means that one can confidently expect science to provide reliable knowledge and evidence, even if one’s understanding of science is bounded. According to the sociological and psychological literature, citizens’ basic attitudes toward, experiences with, and perceived trustworthiness of the trustee serve as antecedents of trust. From this, we developed a model for the public’s trust in science, and we tested this model in a nationally representative survey in Switzerland (N = 1,050). The analysis reveals that trust in science was best predicted by positivistic attitudes toward science (β = 0.33) and to a lesser extent by trustworthiness assessments of scientists (β = 0.24). Experiences with science did not predict trust in science (β = 0.07). These results suggest that stable basic attitudes toward science and its role in society are grounds on which trust in science can be built.

Publication
In Frontiers in Communication.
Structural Model (N = 742); path coefficients are standardized estimates; **p p

Structural Model (N = 742); path coefficients are standardized estimates; **p < 0.01; ***p < 0.001.

Niels G. Mede
Niels G. Mede
Science Communication Researcher

I am a Senior Research and Teaching Associate at the Department of Communication and Media Research (IKMZ) of the University of Zurich, where I also completed a PhD in communication studies. My work focuses on science communication, digital media, public perceptions of science, threats and attacks against scholars, climate change communication, and survey methodology. Over the last years, I was a visiting researcher at the Department of Life Sciences Communication of the University of Wisconsin—Madison (2022), the Oxford Internet Institute at the University of Oxford (2023), and the Digital Media Research Centre at the Queensland University of Technology (2024).