Evidence map›Paper›PMID 37309829›Full record

ArticleAmerican journal of health promotion : AJHP2023

A Story is Better Told With Collective Interests: An Experimental Examination of Misinformation Correction During the COVID-19 Pandemic.

Xizhu Xiao, Porismita Borah, Danielle Ka Lai Lee, Yan Su, Sojung Kim

Abstract read
In one paragraph

Article in American journal of health promotion : AJHP, 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. 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.

Xizhu XiaoSchool of Literature, Journalism and Communication, Qingdao University, Qingdao, China.ORCID 0000-0002-7833-134X
Porismita BorahEdward R. Murrow College of Communication, Washington State University, Pullman, WA, USA.
Danielle Ka Lai LeeEdward R. Murrow College of Communication, Washington State University, Pullman, WA, USA.
Yan SuSchool of Journalism and Communication, Peking University, Beijing, China.
Sojung KimDepartment of Communication, George Mason University, Fairfax, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo examine strategies that help motivate social correction behaviors to combat COVID-19-related health misinformation on social media.

design2 (message types: narrative vs statistics) x 2 (social frames: individual vs collective) between-subjects experiment.

settingQualtrics-based online experiment via Lucid. SUBJECTS: The final sample consisted of 450 participants ( MEASURES: Manipulation check, discussion and correction intentions, and need for cognition (NFC). ANALYSIS: ANCOVA and PROCESS model 3 were used to analyze the data.

resultsSignificant interaction effects emerged between message types and social frames on discussion intention,

conclusionIn motivating social correction behaviors, a story is better told with an emphasis on collective interests, and numbers are better presented with personal gains and losses. Future interventions should identify the target audience based on the level of NFC.

Indexed as

COVID-19Social MediaCognitionCommunicationHumansIntentionMiddle AgedPandemicsCOVID-19discussionmisinformationnarrative vs. statisticsneed for cognitionsocial correction

Identifiers

PMID37309829
PMCPMC10265266

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.