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    Rights statement: This is the author’s version of a work that was accepted for publication in International Journal of Disaster Risk Reduction. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Disaster Risk Reduction, 84, 2023 DOI: 10.1016/j.ijdrr.2022.103469

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The public needs more: The informational and emotional support of public communication amidst the Covid-19 in China

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The public needs more: The informational and emotional support of public communication amidst the Covid-19 in China. / Zhu, Ruilin; Hu, Xuan.
In: International Journal of Disaster Risk Reduction, Vol. 84, 103469, 31.01.2023.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Zhu R, Hu X. The public needs more: The informational and emotional support of public communication amidst the Covid-19 in China. International Journal of Disaster Risk Reduction. 2023 Jan 31;84:103469. Epub 2022 Nov 30. doi: 10.1016/j.ijdrr.2022.103469

Author

Zhu, Ruilin ; Hu, Xuan. / The public needs more : The informational and emotional support of public communication amidst the Covid-19 in China. In: International Journal of Disaster Risk Reduction. 2023 ; Vol. 84.

Bibtex

@article{85d0b06b4286489ea75b8308d2b3bd01,
title = "The public needs more: The informational and emotional support of public communication amidst the Covid-19 in China",
abstract = "Public communication is critical for responding to disasters. However, most research on public communication is largely focused on its informational support function, overlooking the emotional support that could equally offer. This study takes the lead to investigate their separate impacts. In particular, the variable public engagement, which is a function of the number of Shares, Likes, and Comments in a particular post, is introduced to benchmark the effect of public communication. Besides, considering the evolving nature of the crisis, their dynamic impacts across different COVID-19 pandemic stages are examined. Data from Dec 2019 to Jul 2020 were collected from 17 provincial government-owned social media (Weibo) accounts across COVID-19 in China with a Natural Language Processing-based method to compute the strengths of informational support and emotional support strength. An econometric model is then proposed to explore the impacts of two supports. The findings are twofold: the impact of emotional support on public engagement is empirically confirmed in the study, which is not in lockstep with the informational support; and their impacts on public communication are dynamic rather than static across stages throughout the crisis. We highlighted the importance of emotional support in public engagement by deriving its impact separately from informational support. The findings suggest incorporating both social supports to create stronger public communication tactics during crises.",
keywords = "COVID-19, Emotional support, Government-owned social media, Social support theory, Public communication",
author = "Ruilin Zhu and Xuan Hu",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in International Journal of Disaster Risk Reduction. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Disaster Risk Reduction, 84, 2023 DOI: 10.1016/j.ijdrr.2022.103469",
year = "2023",
month = jan,
day = "31",
doi = "10.1016/j.ijdrr.2022.103469",
language = "English",
volume = "84",
journal = "International Journal of Disaster Risk Reduction",
issn = "2212-4209",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - The public needs more

T2 - The informational and emotional support of public communication amidst the Covid-19 in China

AU - Zhu, Ruilin

AU - Hu, Xuan

N1 - This is the author’s version of a work that was accepted for publication in International Journal of Disaster Risk Reduction. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Disaster Risk Reduction, 84, 2023 DOI: 10.1016/j.ijdrr.2022.103469

PY - 2023/1/31

Y1 - 2023/1/31

N2 - Public communication is critical for responding to disasters. However, most research on public communication is largely focused on its informational support function, overlooking the emotional support that could equally offer. This study takes the lead to investigate their separate impacts. In particular, the variable public engagement, which is a function of the number of Shares, Likes, and Comments in a particular post, is introduced to benchmark the effect of public communication. Besides, considering the evolving nature of the crisis, their dynamic impacts across different COVID-19 pandemic stages are examined. Data from Dec 2019 to Jul 2020 were collected from 17 provincial government-owned social media (Weibo) accounts across COVID-19 in China with a Natural Language Processing-based method to compute the strengths of informational support and emotional support strength. An econometric model is then proposed to explore the impacts of two supports. The findings are twofold: the impact of emotional support on public engagement is empirically confirmed in the study, which is not in lockstep with the informational support; and their impacts on public communication are dynamic rather than static across stages throughout the crisis. We highlighted the importance of emotional support in public engagement by deriving its impact separately from informational support. The findings suggest incorporating both social supports to create stronger public communication tactics during crises.

AB - Public communication is critical for responding to disasters. However, most research on public communication is largely focused on its informational support function, overlooking the emotional support that could equally offer. This study takes the lead to investigate their separate impacts. In particular, the variable public engagement, which is a function of the number of Shares, Likes, and Comments in a particular post, is introduced to benchmark the effect of public communication. Besides, considering the evolving nature of the crisis, their dynamic impacts across different COVID-19 pandemic stages are examined. Data from Dec 2019 to Jul 2020 were collected from 17 provincial government-owned social media (Weibo) accounts across COVID-19 in China with a Natural Language Processing-based method to compute the strengths of informational support and emotional support strength. An econometric model is then proposed to explore the impacts of two supports. The findings are twofold: the impact of emotional support on public engagement is empirically confirmed in the study, which is not in lockstep with the informational support; and their impacts on public communication are dynamic rather than static across stages throughout the crisis. We highlighted the importance of emotional support in public engagement by deriving its impact separately from informational support. The findings suggest incorporating both social supports to create stronger public communication tactics during crises.

KW - COVID-19

KW - Emotional support

KW - Government-owned social media

KW - Social support theory

KW - Public communication

U2 - 10.1016/j.ijdrr.2022.103469

DO - 10.1016/j.ijdrr.2022.103469

M3 - Journal article

VL - 84

JO - International Journal of Disaster Risk Reduction

JF - International Journal of Disaster Risk Reduction

SN - 2212-4209

M1 - 103469

ER -