Evidence map›Paper›PMID 35414567›Full record

ReviewBMJ global health2022

#WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic.

Connie Cai Ru Gan, Shuo Feng, Huiyun Feng, King-Wa Fu, Sara E Davies, Karen A Grépin, Rosemary Morgan, Julia Smith, Clare Wenham

Abstract readReview
In one paragraph

Review in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

9 authors.

Connie Cai Ru GanCentre for Environment and Population Health, School of Medicine and Dentistry, Griffith University, Nathan, Queensland, Australia.
Shuo FengDepartment of Biostatistics, School of Public Health, Brown University, Providence, Rhode Island, USA.
Huiyun FengSchool of Government and International Relations, Griffith University, Nathan, Queensland, Australia.
King-Wa FuJournalism and Media Studies Centre, University of Hong Kong, Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-8157-5276
Sara E DaviesSchool of Government and International Relations, Griffith University, Nathan, Queensland, Australia sara.davies@griffith.edu.au.ORCID 0000-0002-7637-2252
Karen A GrépinSchool of Public Health, University of Hong Kong Li Ka Shing Faculty of Medicine, Hong Kong, Hong Kong.ORCID 0000-0003-4368-0045
Rosemary MorganInternational Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Julia SmithFaculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.ORCID 0000-0002-5175-1109
Clare WenhamDepartment of Health Policy, London School of Economics and Political Science, London, UK.ORCID 0000-0001-5378-3203

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social media can be both a source of information and misinformation during health emergencies. During the COVID-19 pandemic, social media became a ubiquitous tool for people to communicate and represents a rich source of data researchers can use to analyse users' experiences, knowledge and sentiments. Research on social media posts during COVID-19 has identified, to date, the perpetuity of traditional gendered norms and experiences. Yet these studies are mostly based on Western social media platforms. Little is known about gendered experiences of lockdown communicated on non-Western social media platforms. Using data from Weibo, China's leading social media platform, we examine gendered user patterns and sentiment during the first wave of the pandemic between 1 January 2020 and 1 July 2020. We find that Weibo posts by self-identified women and men conformed with some gendered norms identified on other social media platforms during the COVID-19 pandemic (posting patterns and keyword usage) but not all (sentiment). This insight may be important for targeted public health messaging on social media during future health emergencies.

Indexed as

COVID-19PandemicsCommunicable Disease ControlEmergenciesFemaleHumansSARS-CoV-2COVID-19Public Health

Identifiers

PMID35414567
PMCPMC9006193

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.