Evidence map›Paper›PMID 37716186›Full record

ArticleSocial science & medicine (1982)2023

Openness to change among COVID misinformation endorsers: Associations with social demographic characteristics and information source usage.

Xiaoquan Zhao, Urszula A Horoszko, Amy Murphy, Bruce G Taylor, Phoebe A Lamuda, Harold A Pollack, John A Schneider, Faye S Taxman

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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

8 authors.

Xiaoquan ZhaoDepartment of Communication, George Mason University, Fairfax, VA, USA. Electronic address: xzhao3@gmu.edu.
Urszula A HoroszkoDepartment of Communication, George Mason University, Fairfax, VA, USA.
Amy MurphySchar School of Public Policy, George Mason University, Fairfax, VA, USA.
Bruce G TaylorNORC at the University of Chicago, Chicago, IL, USA.
Phoebe A LamudaNORC at the University of Chicago, Chicago, IL, USA.
Harold A PollackCrown Family School of Social Work, Policy, and Practice, University of Chicago, Chicago, IL, USA.
John A SchneiderCrown Family School of Social Work, Policy, and Practice, University of Chicago, Chicago, IL, USA; Department of Medicine, University of Chicago, Chicago, IL, USA.
Faye S TaxmanSchar School of Public Policy, George Mason University, Fairfax, VA, USA.

Funding

Technical Assistance CoreU2CDA050097 · NIDA · GEORGE MASON UNIVERSITY · PI Faye S Taxman · 2019 to 2026
$37.0M
Survey CoreU2CDA050098 · NIDA · UNIVERSITY OF CHICAGO · PI POLLACK, HAROLD ALEXANDER, SCHNEIDER, JOHN · 2019 to 2019
$17.2M
NIDA NIH HHS U2C DA050097NIDA NIH HHS U2C DA050098
6 · The paper itself

Abstract

rationaleMisinformation is a major concern for public health, with its presence and impact strongly felt in the COVID-19 pandemic. Misinformation correction has drawn strong research interest. In contrast, relatively little attention has been given to the likelihood of favorable behavioral change post correction (i.e., openness to change).

objectiveThis study seeks to identify the characteristics of COVID misinformation endorsers who are open to adopt more self-protective behaviors after misinformation correction.

methodsCOVID misinformation endorsers (N = 1991) in a large, nationally representative survey (fielded in October and November 2021) were asked how likely they would adopt self-protective behaviors if a source they trusted debunked their prior misperceptions. Multiple linear regression estimated the relationships between openness to change and socio-demographics, health-related factors, and health information source usage patterns.

resultsLess than half of the misinformation endorsers in the sample (41.3%) indicated any openness to change. Openness to change was positively associated with minority status and negatively associated with leaning Republican in political affiliation, higher income, being currently unvaccinated or unsure about vaccination status, better health, and a greater number of misinformation items endorsed. Past-month use of government, community, and personal sources for health information positively predicted openness. The use of online media was negatively associated with openness.

conclusionsOpenness to change is not guaranteed after misinformation correction. Targeted interventions based on openness to change are needed to enhance the public health impact of misinformation correction efforts.

Indexed as

CommunicationCOVID-19AdultAgedFemaleHumansInformation SourcesMaleMiddle AgedSARS-CoV-2Social MediaSociodemographic FactorsSocioeconomic FactorsSurveys and QuestionnairesUnited StatesCorrectionCOVID-19MisinformationOpenness to change

Identifiers

PMID37716186
PMCPMC13020438

What OpenQuestion holds

Textmetadata
LicenceTDM
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.