Evidence map›Paper›PMID 33171843›Full record

ArticleInternational journal of environmental research and public health2020

A Social Network Analysis of Tweets Related to Masks during the COVID-19 Pandemic.

Wasim Ahmed, Josep Vidal-Alaball, Francesc Lopez Segui, Pedro A Moreno-Sánchez

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. COVID-19 and Masking Disparities: Qualitative Analysis of Trust on the CDC's Facebook Page.International journal of environmental research and public health · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Ecosystem Services: A Social and Semantic Network Analysis of Public Opinion on Twitter.International journal of environmental research and public health · 2022
    Article
  15. Understanding Melanoma Talk on Twitter: The Lessons Learned and Missed Opportunities.International journal of environmental research and public health · 2022
    Article
  16. Article
  17. Social Media Engagement in Two Governmental Schemes during the COVID-19 Pandemic in Macao.International journal of environmental research and public health · 2022
    Article
  18. #Nomask on Instagram: Exploring Visual Representations of the Antisocial Norm on Social Media.International journal of environmental research and public health · 2022
    Article
  19. Article
  20. 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.

Wasim AhmedNewcastle University Business School, Newcastle University, Newcastle upon Tyne NE1 4SE, UK.ORCID 0000-0001-8923-1865
Josep Vidal-AlaballHealth Promotion in Rural Areas Research Group, Gerència Territorial de la Catalunya Central, Institut Català de la Salut, 08272 Sant Fruitós de Bages, Spain.ORCID 0000-0002-3527-4242
Francesc Lopez SeguiTIC Salut Social, Generalitat de Catalunya, 08005 Barcelona, Spain.ORCID 0000-0003-0977-0215
Pedro A Moreno-SánchezSchool of Health Care and Social Work, Seinäjoki University of Applied Sciences, 60100 Seinäjoki, Finland.ORCID 0000-0003-3987-1789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh compliance in wearing a mask is a crucial factor for stopping the transmission of COVID-19. Since the beginning of the pandemic, social media has been a key communication channel for citizens. This study focused on analyzing content from Twitter related to masks during the COVID-19 pandemic.

methodsTwitter data were collected using the keyword "mask" from 27 June 2020 to 4 July 2020. The total number of tweets gathered were

resultsThe overall shape of the network resembled a community network because there was a range of users conversing amongst each other in different clusters. It was found that a range of accounts were influential and/or mentioned within the network. These ranged from ordinary citizens, politicians, and popular culture figures. The most common theme and popular hashtags to emerge from the data encouraged the public to wear masks.

conclusionTowards the end of June 2020, Twitter was utilized by the public to encourage others to wear masks and discussions around masks included a wide range of users.

Indexed as

Coronavirus InfectionsMasksPandemicsPneumonia, ViralSocial MediaBetacoronavirusCOVID-19HumansPublic HealthSARS-CoV-2Social NetworkingcoronavirusCOVID-19maskspublic healthtransmissiontwitter

Identifiers

PMID33171843
PMCPMC7664625

What OpenQuestion holds

Textmetadata
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.