ArticleScience & education2022
Trust and Mistrust in Sources of Scientific Information on Climate Change and Vaccines: Insights from Portugal and Poland.
Article in Science & education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Advice-taking in carbon footprint assessments: How psychological and cultural factors shape reliance on experts' advice.British journal of psychology (London, England : 1953) · 2026Article
- The impact of coronavirus disease 2019 (COVID-19) pandemic experiences on attitudes towards vaccinations: on the social, cultural and political determinants of preferred vaccination organization models in Poland.Health research policy and systems · 2024Article
- Research-Infused Courses are Effective for Online and In-Person Education.Applied Human Factors and Ergonomics Conference · 2024Article
- Manifestation of Health Denialism in Attitudes toward COVID-19 Vaccination: A Qualitative Study.Vaccines · 2023Article
- Messaging Should Reflect the Nuanced Relationship between Land Change and Zoonotic Disease Risk.Bioscience · 2022Article
- Navigating the Credibility of Web-Based Information During the COVID-19 Pandemic: Using Mnemonics to Empower the Public to Spot Red Flags in Health Information on the Internet.Journal of medical Internet research · 2022Article
- Climate change, vaccines, GMO: The N400 effect as a marker of attitudes toward scientific issues.PloS one · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Public trust in science and expertise remains a contentious issue. When public trust is analysed, it often simplifies a complex process of information retrieval and interpretation. Questionnaire surveys help us make sense of differences among actors and countries, but they fail to provide a comprehensive analysis of the reasons that lead citizens to trust a specific actor to differing degrees. Hence, we opted for using a qualitative grounded approach to understand how citizens make sense of their trust in several actors. This article draws from the results of public consultations with citizens in Portugal and Poland about two specific science-related topics-climate change and vaccines-focusing on citizens' perceptions of trust in several sources of scientific information. The results show that citizens' trust varies depending on the source of scientific information, and it is affected by the topic's visibility and different national levels of institutional trust. It also concludes that citizens use different criteria to evaluate trustworthiness and that this process leads to different ways of expressing trust/mistrust: unquestioned confidence, justified trust, reflexive trust, and active distrust. Such knowledge leads to a more in depth understanding of how trust in science is constructed, which can help science communicators and educators choose sources and materials.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.