Evidence map›Paper›PMID 32936804›Full record

ArticlePloS one2020

COVID-19: Retransmission of official communications in an emerging pandemic.

Jeannette Sutton, Scott L Renshaw, Carter T Butts

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
17.0field-weighted citation impact, top 1% of its field
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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Social Media Use for Health Purposes: Systematic Review.Journal of medical Internet research · 2021
    Pooled it
  3. Article
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  7. Understanding the effects of message cues on COVID-19 information sharing on Twitter.Journal of the Association for Information Science and Technology · 2022
    Article
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  12. Review
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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

3 authors at 2 institutions in 1 country.

Jeannette SuttonCollege of Emergency Preparedness, Homeland Security, and Cybersecurity, University at Albany, State University of New York, Albany, New York, United States of America.ORCID 0000-0002-4345-9108
Scott L RenshawDepartment of Sociology, University of California Irvine, Irvine, California, United States of America.
Carter T ButtsDepartment of Sociology, University of California Irvine, Irvine, California, United States of America.
University of California, Irvine · USAlbany State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the most visible face of health expertise to the general public, health agencies have played a central role in alerting the public to the emerging COVID-19 threat, providing guidance for protective action, motivating compliance with health directives, and combating misinformation. Social media platforms such as Twitter have been a critical tool in this process, providing a communication channel that allows both rapid dissemination of messages to the public at large and individual-level engagement. Message dissemination and amplification is a necessary precursor to reaching audiences, both online and off, as well as inspiring action. Therefore, it is valuable for organizational risk communication to identify strategies and practices that may lead to increased message passing among online users. In this research, we examine message features shown in prior disasters to increase or decrease message retransmission under imminent threat conditions to develop models of official risk communicators' messages shared online from February 1, 2020-April 30, 2020. We develop a lexicon of keywords associated with risk communication about the pandemic response, then use automated coding to identify message content and message structural features. We conduct chi-square analyses and negative binomial regression modeling to identify the strategies used by official risk communicators that respectively increase and decrease message retransmission. Findings show systematic changes in message strategies over time and identify key features that affect message passing, both positively and negatively. These results have the potential to aid in message design strategies as the pandemic continues, or in similar future events.

Indexed as

BetacoronavirusCommunicable Diseases, EmergingCommunicationCoronavirus InfectionsPandemicsPneumonia, ViralSocial MediaChi-Square DistributionCOVID-19EmergenciesEmergency Medical ServicesGovernment AgenciesHumansInformation DisseminationInternetMass Media

Identifiers

PMID32936804
PMCPMC7494104
OpenAlexW3085894443

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.