Evidence map›Paper›PMID 39433417›Full record

ArticleBMJ open2024

Is disinformation more likely to spread? A fuzzy-set qualitative comparative analysis of emerging infectious diseases on China's short video platform.

Yongbin Xu, Sanmei Wen, Liwen Zhang, Jing Su

Abstract readComparative Study
In one paragraph

Article in BMJ open, 2024. 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
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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

4 authors.

Yongbin XuSchool of Journalism and Communication, Tsinghua University, Beijing, China.ORCID 0009-0009-8673-7591
Sanmei WenSchool of Journalism and Communication, Tsinghua University, Beijing, China.
Liwen ZhangCollege of Arts and Media, Tongji University, Shanghai, China.
Jing SuSchool of Humanities, Tsinghua University, Beijing, China sujingxw@tsinghua.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to develop a model for the dissemination of information on emerging infectious diseases (EIDs) by identifying the specific features of mpox (monkeypox)-related short video content that encourages public sharing.

designThis was an exploratory analysis of the dissemination of information on short video platform.

main outcome measuresFocusing on Douyin (TikTok in mainland China), this study collected data from the top 500 most popular short videos using 'monkeypox' as the keyword from 1 May 2022 to 31 October 2022. Under the guidance of the health belief model, the videos were coded using two sets of conditional variables: information type variables and information content variables. The information type variables distinguish between fact-checking information and disinformation. Regarding information content variables, this study integrated the features of audiovisual media with the needs of the Chinese public, introducing efficacy information. The study then used fuzzy-set qualitative comparative analysis to analyse the correlation and consistency between the video contents and the level of public sharing, which was the outcome variable. Subsequently, a Poisson regression model was estimated to verify their significance on video-sharing volume.

resultsThe results showed that there were three configurations of short video content related to mpox which could trigger a high level of sharing among the general public. It was found that the number of fact-checked cases in the most widely disseminated short videos of mpox was 21.8:1 compared with the number of disinformation cases. Therefore, it can be concluded that fact-checked information was more likely to spread than disinformation in the case of an outbreak of EIDs on China's short video platforms. Based on the analysis of the three configurations, we also found that they separately formed three paths of the short video communication model, and each path had a more significant variable playing a central role. We named each pathway after the core variable: authoritative source path, personal efficacy path and disinformation path.

conclusionsThis study developed a model for information dissemination of EIDs and found that fact-checked content was more likely to spread on Chinese short video platforms instead of disinformation. It also explored public demand for guidance on EIDs precautions.

Indexed as

Communicable Diseases, EmergingInformation DisseminationChinaFuzzy LogicHumansMpox, MonkeypoxVideo RecordingChinaPublic healthPUBLIC HEALTHSocial Media

Identifiers

PMID39433417
PMCPMC11499787

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.