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Governors Fighting Crisis

Responses to the Covid-19 Pandemic across U.S. States on Twitter

Bibliographic Data

ID21373765
AuthorsXi Gong (0000-0001-7899-6213, University of New Mexico), Xinyue Ye (0000-0001-8838-9476, Texas A&M University)
Year2021
Volume73
Issue4
Pages683-701
Publication date2021-10-02
Open AccessNo
TypeARTICLE
VenueThe Professional Geographer (JOURNAL)
Journal identifiersISSN: 0033-0124 • E-ISSN: 1467-9272
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00330124.2021.1895850
OpenAlexW3158847590
LanguageEN
Citations received9
References cited27

In the waves of the ongoing coronavirus disease 2019 (COVID-19) pandemic, each U.S. state governor has been leading efforts to curb the spread of the virus within his or her state. Twitter has been widely used for crisis communications by governors. Their Twitter usage patterns can largely reflect how state governments responded to the COVID-19 crisis from both geographical and social network perspectives. Through spatial–temporal analysis, network analysis, and text mining, we identified several important usage patterns, such as (1) tweet quantities positively correlated with the pandemic severity; (2) most governors started to mention COVID-19 weeks before the first reported case in their states; (3) COVID-19-related hashtags were commonly used to organize information; (4) feedback was frequently provided by at-mentioning or retweeting other accounts; and (5) governors were networked for crisis communication, driven by demographics, pandemic severities, geographic closeness, cooperation, and party affiliations among states. The current usage patterns are generally consistent with the criteria for effective crisis communications on Twitter (listening, informing, feedback, and connections). Some actionable approaches for governors to improve Twitter crisis communications are also discussed. This exploratory study provides a guide for other agencies and officials to develop future crisis communication plans through leveraging social media for social good

Active listening · Closeness · Coronavirus disease 2019 (COVID-19) · Crisis communication · Demographics · Disease · Governor · Pandemic · Political science · Public relations · Social media · Sociology · State (computer science) · Communication · Computer Science · Demography · Disaster Management and Resilience · Engineering · Law · Medicine · Misinformation and Its Impacts · Public Relations and Crisis Communication

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Citations per year2.25
Citation span2022 - 2026 (5)
Highly citedNo

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