Evidence map›Paper›PMID 36293868›Full record

ArticleInternational journal of environmental research and public health2022

COVID-19 Vaccines on TikTok: A Big-Data Analysis of Entangled Discourses.

Shaojing Sun, Zhiyuan Liu, Yujia Zhai, Fan Wang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Surveillance of Gun-Related Conversations on Twitter.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article
  8. Article
  9. COVID-19 and Public Health: Analysis of Opinions in Social Media.International journal of environmental research and public health · 2023
    Article
  10. 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

4 authors.

Shaojing SunInstitute for Global Communications & Integrated Media, School of Journalism, Fudan University, Shanghai 200433, China.ORCID 0000-0003-2189-5336
Zhiyuan LiuInstitute for Global Communications & Integrated Media, School of Journalism, Fudan University, Shanghai 200433, China.
Yujia ZhaiManagement School, Tianjin Normal University, Tianjin 300387, China.ORCID 0000-0002-3231-4077
Fan WangFudan Development Institute (FDDI), Fudan University, Shanghai 200433, China.

Funding

National Social Science Foundation of China 20&ZD141
6 · The paper itself

Abstract

Focusing on social media affordances and China's social/political context, the present study analyzed the digital communication practices about COVID-19 vaccines on a popular social media platform-TikTok-which is called DouYin in China. Overall, this study identified five major forces partaking in constructing the discourses, with government agencies and state media being the dominant contributors. Furthermore, video posters demonstrated different patterns of utilizing social media affordances (e.g., hashtags) in disseminating their messages. The top hashtags adopted by state media were more representative of international relations and Taiwan; those by government agencies were of updates on pandemic outbreaks; those by individual accounts were of mainstream values and health education; those by commercial media were of celebrities and health education; those by enterprise accounts were of TikTok built-in marketing hashtags. The posted videos elicited both cognitive and affective feedback from online viewers. Implications of the findings were discussed in the context of health communication and global recovery against the backdrop of the COVID-19 pandemic and Chinese culture.

Indexed as

COVID-19Health CommunicationSocial MediaCOVID-19 VaccinesData AnalysisHumansPandemicsCOVID-19 Vaccinesbig dataChinahealth communicationsocial mediaTikTokvaccine

Identifiers

PMID36293868
PMCPMC9602594

What OpenQuestion holds

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LicenceCC BY
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.