Evidence map›Paper›PMID 40479395›Full record

ArticleJournal of contingencies and crisis management2022

Risk governance during the COVID-19 pandemic: A quantitative content analysis of governors' narratives on twitter.

Nagwan R Zahry, Michael McCluskey, Jiying Ling

Abstract read
In one paragraph

Article in Journal of contingencies and crisis management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Nagwan R ZahryDepartment of Communication University of Tennessee at Chattanooga Chattanooga Tennessee USA.ORCID https://orcid.org/0000-0003-3454-8763
Michael McCluskeyDepartment of Communication University of Tennessee at Chattanooga Chattanooga Tennessee USA.
Jiying LingMichigan State University College of Nursing East Lansing Michigan USA.ORCID https://orcid.org/0000-0003-1997-7914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study addresses the communication aspect of risk governance during the COVID-19 pandemic by examining whether governors' tweets differ by political party, gender and crisis phase. Drawing on the Centers for Disease Control and Prevention's Crisis Emergency Risk Communication (CERC) model and framing literature, we examined the salience of five CERC's communication objectives, namely acknowledge crisis with empathy, promote protective actions, describe preparedness/response efforts, address rumours and misunderstanding and segment audience. Using a deductive and inductive approach, we analysed 7000 Twitter messages sent by the 50 US state governors during the period of 13 March 2020 to 17 August 2020. Our findings suggest that governors' tweets aligned with CERC's communication objectives to a varying degree. We found main and interaction effects of political party, gender and crisis phase on governors' communication objectives. New emergent communication objectives included attention to mental health, call for social influencers and promoting hope. Implications are discussed.

Indexed as

CERC modelCOVID‐19governor genderpolitical partisanshiprisk governance

Identifiers

PMID40479395
PMCPMC9349998

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.