Collaborative Research: Science and Information Integrity: Strategies for Rebuilding Trust in Science
Boston College, Chestnut Hill MA
Investigators
Abstract
Public trust in science is declining, with widespread science information integrity issues identified as a key factor. To tackle this issue, extant research and intervention efforts primarily focus on combating fact-level threats (i.e., false beliefs) by correcting science misperceptions or alerting the public to the information integrity dangers in science. Yet, emerging evidence indicates that focusing on fact-level threats may unintentionally exacerbate trust-level threats by triggering suspicion towards all science information, even factually accurate information. While trust-level threats are broad, long-term challenges to science communication, it remains unclear how to address fact-level threats without causing trust-level threats. Filling this gap, this project theorizes and examines the cause, mechanism, and solution of trust-level threats to information integrity. This project advances theory and knowledge about enhancing the public value of scientific findings and scientific communities and offers evidence-based guidelines for the practice of effective science communication in the post-truth era. This research employs a sequential mixed methods approach. First, a national two-wave panel survey (final N = 1,000) identifies the cause of trust-level threats to information integrity by investigating various experiences and perceptions as potential triggers of declined trust in science. In particular, this research investigates the lie-default bias, a tendency to assume incoming information as a lie rather than truth, as a key mediator between science information integrity issues and distrust in science. Second, two online experiments (N = 600 each) test the unintended spillover effects of current approaches (e.g., fact-checking, literacy interventions) that aim to address fact-level threats to information integrity. Third, four focus groups with key stakeholders, including scientists, educators, journalists, and the general public (N = 20 for each group), evaluate how empirical findings from surveys and experiments may be interpreted to inform intervention strategies for maintaining information integrity with regard to fact-level and trust-level threats. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
View original record on NSF Award Search →