Evidence map›Paper›PMID 34866771›Full record

ArticleComputers in human behavior2022

"I enjoy thinking critically, and I'm in control": Examining the influences of media literacy factors on misperceptions amidst the COVID-19 infodemic.

Yan Su, Danielle Ka Lai Lee, Xizhu Xiao

Abstract read
In one paragraph

Article in Computers in human behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Infodemic: Challenges and solutions in topic discovery and data process.Archives of public health = Archives belges de sante publique · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Emotion Dysregulation and Conspiracy Beliefs about COVID-19: The Moderating Role of Critical Social Media Use.European journal of investigation in health, psychology and education · 2022
    Article
  8. Conservative Media Use and COVID-19 Related Behavior: The Moderating Role of Media Literacy Variables.International journal of environmental research and public health · 2022
    Article
  9. 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

3 authors.

Yan SuSchool of Journalism and Communication, Peking University, Beijing, 100871 , China.
Danielle Ka Lai LeeEdward R. Murrow College of Communication, Washington State University, Pullman, WA, 99163, USA.
Xizhu XiaoSchool of Journalism and Communication, Qingdao University, Qingdao, Shandong, 266071 , China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Misinformation circulation has arguably reached a peak during the COVID-19 pandemic, creating an "infodemic" that severely endangers public health and well-being. Using a moderated mediation model, a survey of 712 respondents from China reveals that social media information seeking is positively associated with COVID-19 misperceptions, while need for cognition (NFC) is negatively associated with it. Both relationships became more significant while mediating through individuals' general misperceptions. Moreover, it is found that among those with greater locus of control over media, the association between social media information seeking and COVID-19 misperceptions became more positive, while the association between NFC and COVID-19 misperceptions became more negative among those with greater media locus of control. Findings provide insights into the misperception research and have practical implications regarding infodemic management.

Indexed as

COVID-19InfodemicMedia locus of controlMisperceptionsNeed for cognitionSocial media information seeking

Identifiers

PMID34866771
PMCPMC8631744

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.