Semantic Scholar Open Access 2020 247 sitasi

Model uncertainty, political contestation, and public trust in science: Evidence from the COVID-19 pandemic

S. Kreps D. Kriner

Abstrak

Communications engaging uncertainty in COVID-19 research affect public trust in science and support for science-based policy. While scientific uncertainty always invites the risk of politicization and raises questions of how to communicate about science, this risk is magnified for COVID-19. The limited data and accelerated research timelines mean that some prominent models or findings inevitably will be overturned or retracted. In this research, we examine the attitudes of more than 6000 Americans across five different survey experiments to understand how the cue giver and cue given about scientific uncertainty regarding COVID-19 affect public trust in science and support for science-based policy. Criticism from Democratic political elites undermines trust more than criticism from Republicans. Emphasizing uncertainty in projections can erode public trust in some contexts. Downplaying uncertainty can raise support in the short term, but reversals in projections may temper these effects or even reduce scientific trust. Careful science communication is critical to maintaining public support for science-based policies as the scientific consensus shifts over time.

Penulis (2)

S

S. Kreps

D

D. Kriner

Format Sitasi

Kreps, S., Kriner, D. (2020). Model uncertainty, political contestation, and public trust in science: Evidence from the COVID-19 pandemic. https://doi.org/10.1126/sciadv.abd4563

Akses Cepat

Lihat di Sumber doi.org/10.1126/sciadv.abd4563
Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
247×
Sumber Database
Semantic Scholar
DOI
10.1126/sciadv.abd4563
Akses
Open Access ✓