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February 3, 2026Scientific Reports0 citationsOpen Access

Increasing trust in science through a “Do Your Own Research” intervention

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MWMaike WintersJWJ. David WarrenHMHannah Melchinger

Key Points

  • To explore effective strategies for restoring public trust in science and health-related topics.
  • Participants responded to questions about global development to evoke vulnerability.
  • Guided through a study on COVID-19 vaccines and fertility with subsequent questions.
  • Measured changes in trust levels pre- and post-intervention.
  • Increased trust in science (aRRR: 1.69) and public health (aRRR: 1.38).
  • Mixed results on belief that vaccines cause infertility, with fluctuations based on participant knowledge.
  • Intervention effects varied significantly based on respondents' prior knowledge.

Abstract

Recent years have been marked by an erosion of public trust in science, public health, and vaccines. Little is known about evidence-based strategies to restore trust. We first aimed to instill a feeling of vulnerability in participants by asking three questions about global development, which are commonly answered incorrectly. We then guided participants through a peer-reviewed study on the effect of COVID-19 vaccines on fertility and asked six easy questions. We hypothesized that people would be empowered to believe the conclusions of the study and with that, trust would increase. We found that the intervention increased trust in science (adjusted relative risk ratio (aRRR: 1.69, 95% confidence interval (CI): 1.30-2.20), public health (aRRR: 1.38, 95% CI: 1.08-1.77), and vaccines (aRRR: 1.38, 95% CI: 1.07-1.77). However, the intervention backfired (i.e., decreased trust) for trust in science (aRRR: 1.61, 95% CI: 1.23-2.12) overall, and specifically among people who were wrong and uncertain about their answers. The intervention both significantly increased and decreased beliefs that COVID-19 vaccines cause infertility. While this short intervention managed to increase trust in science, future iterations should be more responsive to baseline levels of trust and beliefs in false information.

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Cite This Study

Winters et al. (2026) studied this question.

synapsesocial.com/papers/6981456cf607237d8b54d424https://doi.org/10.1038/s41598-026-35268-0
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