Evidence map›Paper›PMID 33518503›Full record

ArticleThe Lancet. Digital health2021

What social media told us in the time of COVID-19: a scoping review.

Shu-Feng Tsao, Helen Chen, Therese Tisseverasinghe, Yang Yang, Lianghua Li, Zahid A Butt

Abstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in The Lancet. Digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 296 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
296citing papers in PubMed, 10 pooled it
–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

296 citing papers in PubMed, 10 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

236 more citing papers are in PubMed but not listed here.

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

6 authors.

Shu-Feng TsaoSchool of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.
Helen ChenSchool of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.
Therese TisseverasingheSeneca Libraries, Seneca College, King City, ON, Canada.
Yang YangSchool of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.
Lianghua LiFaculty of Science, University of Waterloo, Waterloo, ON, Canada.
Zahid A ButtSchool of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada. Electronic address: zahid.butt@uwaterloo.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the onset of the COVID-19 pandemic, social media has rapidly become a crucial communication tool for information generation, dissemination, and consumption. In this scoping review, we selected and examined peer-reviewed empirical studies relating to COVID-19 and social media during the first outbreak from November, 2019, to November, 2020. From an analysis of 81 studies, we identified five overarching public health themes concerning the role of online social media platforms and COVID-19. These themes focused on: surveying public attitudes, identifying infodemics, assessing mental health, detecting or predicting COVID-19 cases, analysing government responses to the pandemic, and evaluating quality of health information in prevention education videos. Furthermore, our Review emphasises the paucity of studies on the application of machine learning on data from COVID-19-related social media and a scarcity of studies documenting real-time surveillance that was developed with data from social media on COVID-19. For COVID-19, social media can have a crucial role in disseminating health information and tackling infodemics and misinformation.

Indexed as

COVID-19Health EducationSocial MediaDisease OutbreaksHumansPandemicsPublic HealthSARS-CoV-2

Identifiers

PMID33518503
PMCPMC7906737

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.