Evidence map›Paper›PMID 35790468›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2023

Avoiding Covid-19 risk information in the United States: The role of attitudes, norms, affect, social dominance orientations, and perceived trustworthiness of scientists.

Wan Wang, Lucy Atkinson, Lee Ann Kahlor, Patrick Jamar, Hayoung Sally Lim

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Communicating Risk in the Age of Misinformation: Empirical Frameworks for Understanding Stakeholder Trust.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wan WangStan Richards School of Advertising & Public Relations, The University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-0848-9221
Lucy AtkinsonStan Richards School of Advertising & Public Relations, The University of Texas at Austin, Austin, Texas, USA.
Lee Ann KahlorStan Richards School of Advertising & Public Relations, The University of Texas at Austin, Austin, Texas, USA.
Patrick JamarStan Richards School of Advertising & Public Relations, The University of Texas at Austin, Austin, Texas, USA.
Hayoung Sally LimStan Richards School of Advertising & Public Relations, The University of Texas at Austin, Austin, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study seeks guidance from the planned risk information avoidance model to explore drivers of risk information avoidance in the context of COVID-19. Data were collected early during the pandemic. Among our most notable results is that participants who are more oriented toward social dominance and are more skeptical of scientists' credibility have (1) more supportive attitudes toward risk information avoidance and (2) feel social pressure to avoid risk information. The findings of this study highlight how the role of skepticism in science and intergroup ideologies, such as social dominance, can have important implications for how people learn about health-related information, even in times of heightened crisis.

Indexed as

COVID-19AttitudeEmotionsHumansSocial DominanceUnited StatesCOVID-19health riskmistrustrisk information avoidance

Identifiers

PMID35790468
PMCPMC9349373

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.