Evidence map›Paper›PMID 34806565›Full record

ArticleGlobal health action2021

Social media infodemics and social distancing under the COVID-19 pandemic: public good provisions under uncertainty.

Susumu Cato, Takashi Iida, Kenji Ishida, Asei Ito, Hiroto Katsumata, Kenneth Mori McElwain, Masahiro Shoji

Abstract read
In one paragraph

Article in Global health action, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Preventive Behaviors and Information Sources during COVID-19 Pandemic: A Cross-Sectional Study in Japan.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Vaccination and altruism under the COVID-19 pandemic.Public health in practice (Oxford, England) · 2022
    Article
  10. Article
  11. Article
  12. 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

7 authors.

Susumu CatoInstitute of Social Science, University of Tokyo, Tokyo, Japan.ORCID 0000-0002-4244-7199
Takashi IidaInstitute of Social Science, University of Tokyo, Tokyo, Japan.
Kenji IshidaInstitute of Social Science, University of Tokyo, Tokyo, Japan.
Asei ItoInstitute of Social Science, University of Tokyo, Tokyo, Japan.
Hiroto KatsumataGraduate School of Arts and Sciences, University of Tokyo, Tokyo, Japan.
Kenneth Mori McElwainInstitute of Social Science, University of Tokyo, Tokyo, Japan.
Masahiro ShojiInstitute of Social Science, University of Tokyo, Tokyo, Japan.ORCID 0000-0002-1299-9320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This debate examines the impact of infodemics - an over-abundance of information - on social distancing during the COVID-19 pandemic. Because of its external effects, social distancing behavior (SDB) shares fundamental properties with public goods, whose potential for undersupply has been examined extensively in the social sciences. Although the negative effects of infodemics have been emphasized by governments and international organizations, theoretical models suggest that infodemics may work as a mitigation mechanism. That is, infodemics may enhance people's SDBs. Based on original survey data, we show that media exposure can positively increase SDB. We conclude by discussing two public health implications. First, the media plays an important role in motivating SDB. Second, even if infodemics can increase SDB, we must be wary of their ability to pose other, non-negligible dangers.

Indexed as

COVID-19Social MediaHumansPandemicsPhysical DistancingSARS-CoV-2Uncertaintyinfodemicspublic goodrisk aversionSocial distancingsocial media

Identifiers

PMID34806565
PMCPMC8635571

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.