Cargando…
Dialogic communication on local government social media during the first wave of COVID-19: Evidence from the health commissions of prefecture-level cities in China
Although some scholars have explored the level and determinants of Dialogic Communication on Government Social Media (DCGSM), none have conducted their studies in the context of public crisis. The current study contributes to the understanding on DCGSM by 16,822 posts crawled from the official Sina...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937550/ https://www.ncbi.nlm.nih.gov/pubmed/36846271 http://dx.doi.org/10.1016/j.chb.2023.107715 |
_version_ | 1784890447161720832 |
---|---|
author | Chen, Qiang Zhang, Yangyi Liu, Huan Zhang, Wei Evans, Richard |
author_facet | Chen, Qiang Zhang, Yangyi Liu, Huan Zhang, Wei Evans, Richard |
author_sort | Chen, Qiang |
collection | PubMed |
description | Although some scholars have explored the level and determinants of Dialogic Communication on Government Social Media (DCGSM), none have conducted their studies in the context of public crisis. The current study contributes to the understanding on DCGSM by 16,822 posts crawled from the official Sina Weibo accounts of 104 Chinese health commissions in prefecture-level cities during the first wave of the COVID-19 pandemic. Results show that Chinese local government agencies have great variations in their DCGSM during the pandemic and the overall performance is poor. Furthermore, Chinese local governments prefer to conserve visitors and generate return visits, rather than dialogic loops development and the usefulness of information enhancement. The findings suggest that both public pressure and peer pressure contribute to the DCGSM of Chinese local governments during the public health crisis. In addition, the effect of public pressure is stronger than that of the peer pressure, indicating that local government agencies have experienced more demand-pull DCGSM. |
format | Online Article Text |
id | pubmed-9937550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99375502023-02-21 Dialogic communication on local government social media during the first wave of COVID-19: Evidence from the health commissions of prefecture-level cities in China Chen, Qiang Zhang, Yangyi Liu, Huan Zhang, Wei Evans, Richard Comput Human Behav Article Although some scholars have explored the level and determinants of Dialogic Communication on Government Social Media (DCGSM), none have conducted their studies in the context of public crisis. The current study contributes to the understanding on DCGSM by 16,822 posts crawled from the official Sina Weibo accounts of 104 Chinese health commissions in prefecture-level cities during the first wave of the COVID-19 pandemic. Results show that Chinese local government agencies have great variations in their DCGSM during the pandemic and the overall performance is poor. Furthermore, Chinese local governments prefer to conserve visitors and generate return visits, rather than dialogic loops development and the usefulness of information enhancement. The findings suggest that both public pressure and peer pressure contribute to the DCGSM of Chinese local governments during the public health crisis. In addition, the effect of public pressure is stronger than that of the peer pressure, indicating that local government agencies have experienced more demand-pull DCGSM. Elsevier Ltd. 2023-06 2023-02-17 /pmc/articles/PMC9937550/ /pubmed/36846271 http://dx.doi.org/10.1016/j.chb.2023.107715 Text en © 2023 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Chen, Qiang Zhang, Yangyi Liu, Huan Zhang, Wei Evans, Richard Dialogic communication on local government social media during the first wave of COVID-19: Evidence from the health commissions of prefecture-level cities in China |
title | Dialogic communication on local government social media
during the first wave of COVID-19: Evidence from the health commissions of
prefecture-level cities in China |
title_full | Dialogic communication on local government social media
during the first wave of COVID-19: Evidence from the health commissions of
prefecture-level cities in China |
title_fullStr | Dialogic communication on local government social media
during the first wave of COVID-19: Evidence from the health commissions of
prefecture-level cities in China |
title_full_unstemmed | Dialogic communication on local government social media
during the first wave of COVID-19: Evidence from the health commissions of
prefecture-level cities in China |
title_short | Dialogic communication on local government social media
during the first wave of COVID-19: Evidence from the health commissions of
prefecture-level cities in China |
title_sort | dialogic communication on local government social media
during the first wave of covid-19: evidence from the health commissions of
prefecture-level cities in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937550/ https://www.ncbi.nlm.nih.gov/pubmed/36846271 http://dx.doi.org/10.1016/j.chb.2023.107715 |
work_keys_str_mv | AT chenqiang dialogiccommunicationonlocalgovernmentsocialmediaduringthefirstwaveofcovid19evidencefromthehealthcommissionsofprefecturelevelcitiesinchina AT zhangyangyi dialogiccommunicationonlocalgovernmentsocialmediaduringthefirstwaveofcovid19evidencefromthehealthcommissionsofprefecturelevelcitiesinchina AT liuhuan dialogiccommunicationonlocalgovernmentsocialmediaduringthefirstwaveofcovid19evidencefromthehealthcommissionsofprefecturelevelcitiesinchina AT zhangwei dialogiccommunicationonlocalgovernmentsocialmediaduringthefirstwaveofcovid19evidencefromthehealthcommissionsofprefecturelevelcitiesinchina AT evansrichard dialogiccommunicationonlocalgovernmentsocialmediaduringthefirstwaveofcovid19evidencefromthehealthcommissionsofprefecturelevelcitiesinchina |