Evidence map›Paper›PMID 36040975›Full record

ArticlePloS one2022

COVID-19 and communication: A sentiment analysis of US state governors' official press releases.

Mauricio Tano, Juha Baek, Adriana Ordonez, Rita Bosetti, Terri Menser, George Naufal, Bita Kash

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Mauricio TanoNuclear Engineering Department, Texas A&M University, College Station, TX, United States of America.ORCID 0000-0003-3417-3869
Juha BaekDepartment of Health Care Policy Research, Korea Institute for Health and Social Affairs, Sejong-si, Korea.
Adriana OrdonezDepartment of Health Care Policy Research, Korea Institute for Health and Social Affairs, Sejong-si, Korea.
Rita BosettiDepartment of Health Care Policy Research, Korea Institute for Health and Social Affairs, Sejong-si, Korea.
Terri MenserDepartment of Health Care Policy Research, Korea Institute for Health and Social Affairs, Sejong-si, Korea.
George NaufalDepartment of Health Care Policy Research, Korea Institute for Health and Social Affairs, Sejong-si, Korea.ORCID 0000-0001-5357-1841
Bita KashDepartment of Health Care Policy Research, Korea Institute for Health and Social Affairs, Sejong-si, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study examines the contents of official communication from United States governors' offices related to the COVID-19 pandemic to assess patterns in communication and to determine if they correlate with trends for COVID cases and deaths.

methodsWe collected text data for all COVID-19 related press releases between March 1 and December 31, 2020 from the US governors' office websites in all 50 states. An automated parsing and sentiment analyzer assessed descriptive statistics and trends in tone, including positivity and negativity.

resultsWe included a total of 7,720 press releases in this study. We found that both positive and negative sentiments were homogenous across states at the beginning of the pandemic but became heterogeneous as the pandemic evolved. The same trend applied to the frequency and tone of press releases. Sentiments across states were overall positive with a small level of negativity. We observed a reactive official communication to the evolution of the number of COVID-19 cases rather than responsive or preventive.

conclusionsThe findings of both positivity and negativity in press communications suggest that the effect of discounted importance was present in official communications. Our findings support a state-dependent optimal communication frequency and tone, agreeing with the curvilinear communication model of organizational theory and implying that feedback cycles between government officials and public response should be shortened to rapidly maximize communication efficacy during the pandemic. Future research should identify and evaluate the drivers of the large differences in communication tone across states and validate the reactive characteristics of COVID-19 official communications.

Indexed as

COVID-19Social MediaCommunicationHumansPandemicsSARS-CoV-2Sentiment AnalysisUnited States

Identifiers

PMID36040975
PMCPMC9426878

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LicenceCC BY
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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.