Evidence map›Paper›PMID 36167474›Full record

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

Reliability but not bias: Developing a scale to measure preferred channels for risk information during the COVID pandemic.

Kenneth A Lachlan, Christine Gilbert

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Kenneth A LachlanDepartment of Communication, University of Connecticut, Storrs, Connecticut, USA.ORCID 0000-0002-7856-2797
Christine GilbertSchool of Communication and Journalism and School of Marine and Atmospheric Sciences, State University of New York, Stony Brook, New York, USA.ORCID 0000-0003-4180-5254

Funding

National Science Foundation DRMS-2029258
6 · The paper itself

Abstract

To develop a new measure of preferred sources for risk information, two studies asked respondents to indicate what channels they were reliant on for information about COVID-19, from 25 news channels ranging across the political spectrum. Unexpectedly, dependencies clustered around level of reliability rather than the political orientation of the news channel. In other words, each cluster included media channels from both the left and right side of the political spectrum, while dependencies clustered into sources that varied by the degree to which their content is reliable. Participants who turned to lower reliability channels indicated lower risk perceptions, less accurate probability estimations, reduced vaccination intentions, and lower protective behavioral intentions. Those inclined to use higher reliability channels indicated higher risk perceptions, more accurate probability estimations, increased vaccination intentions, and higher protective behavioral intentions. These relationships are discussed in terms of implications for our understanding of source reliance and risk perception, information sufficiency, and implications for both future research and public health interventions.

Indexed as

COVID-19PandemicsAdultBiasFemaleHumansMaleMass MediaReproducibility of ResultsRisk AssessmentSARS-CoV-2Surveys and QuestionnairesVaccinationCOVID‐19protective actionsrisk informationrisk perceptionsource reliance

Identifiers

PMID36167474
PMCPMC9538727

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.