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在 COVID-19 常态化背景下公共卫生机构如何在 TikTok 上与公众进行沟通:以上海 2022 年疫情爆发为例。

How public health agencies communicate with the public on TikTok under the normalization of COVID-19: A case of 2022 Shanghai's outbreak.

机构信息

Department of Human-Artificial Intelligence Interaction, Sungkyunkwan University, Seoul, South Korea.

Department of Interaction Science, Sungkyunkwan University, Seoul, South Korea.

出版信息

Front Public Health. 2022 Nov 24;10:1039405. doi: 10.3389/fpubh.2022.1039405. eCollection 2022.


DOI:10.3389/fpubh.2022.1039405
PMID:36505000
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9731275/
Abstract

OBJECTIVE: As life with COVID-19 became a norm in 2022, the public's demand for and perception of COVID-19-related information has changed. This study analyzed the performance and responses of Healthy China and the public at various stages of COVID-19 normalization using the crisis and emergency risk communication (CERC) theory. METHODS: This study was based on the 2022 Shanghai COVID-19 outbreak and data from "Healthy China," the official TikTok account of the National Health Commission of the People's Republic of China (NHCC). First, we divided the Shanghai lockdown into five stages in accordance with the CERC. Second, the videos released by Healthy China were open-coded. Third, to understand the distribution of strategies across the stages, we used counts and percentages to summarize the categorical variables. Fourth, we investigated the distribution of public participation indicators using descriptive statistical analysis. Finally, the relationship between stage and communication strategy was examined using the chi-square test and negative binomial regression. RESULTS: (1) Healthy China adopted a more flexible approach to communication strategies; (2) new cases per day was the commonly used substrategy for uncertainty reduction; (3) there was a significant difference in the strategies used by Healthy China at different stages; (4) public participation was highest in the pre-crisis period; and (5) the stage had a significant positive impact on the number of views, favorites, likes, and shares. CONCLUSIONS: This research provides insight into effective communication strategies for the government or public health agencies to employ during COVID-19 normalization.

摘要

目的:随着 2022 年人们对 COVID-19 生活逐渐适应,公众对 COVID-19 相关信息的需求和认知发生了变化。本研究运用危机与紧急事件风险沟通(CERC)理论,分析了 COVID-19 常态化阶段下,健康中国和公众的表现与反应。

方法:本研究基于 2022 年上海 COVID-19 疫情,数据来源于中华人民共和国国家卫生健康委员会官方 TikTok 账号“健康中国”。首先,我们根据 CERC 将上海封控期分为五个阶段。其次,对健康中国发布的视频进行开放式编码。然后,为了了解各阶段策略的分布情况,我们使用计数和百分比对分类变量进行总结。接着,采用描述性统计分析来研究公众参与指标的分布情况。最后,采用卡方检验和负二项回归检验阶段与传播策略之间的关系。

结果:(1)健康中国采用了更加灵活的沟通策略;(2)日新增病例是减少不确定性的常用子策略;(3)健康中国在不同阶段使用的策略存在显著差异;(4)公众参与度在危机前阶段最高;(5)阶段对浏览量、点赞数、喜欢数和分享量有显著正向影响。

结论:本研究为政府或公共卫生机构在 COVID-19 常态化阶段提供了有效的沟通策略建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7c/9731275/2f7367753827/fpubh-10-1039405-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7c/9731275/eb4aaf989b0a/fpubh-10-1039405-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7c/9731275/2f7367753827/fpubh-10-1039405-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7c/9731275/eb4aaf989b0a/fpubh-10-1039405-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7c/9731275/2f7367753827/fpubh-10-1039405-g0002.jpg

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Integrating the Situational Theory of Problem Solving and Technology Acceptance Model to Predict Intention to Practice Health Protective Behavior for Influenza-Like Illness Among TikTok Users: Cross-Sectional Study.

J Med Internet Res. 2025-7-2

[2]
Identifying determinants for promoting public engagement via Chinese E-government TikTok in public health emergencies.

PLoS One. 2025-6-18

[3]
The impacts of physical activity on domain-specific short video usage behaviors among university students.

BMC Public Health. 2025-3-24

[4]
Status and influencing factors of nurses' burnout: A cross-sectional study during COVID-19 regular prevention and control in Jiangsu Province, China.

Glob Ment Health (Camb). 2024-4-15

[5]
Communicating Nutritional Knowledge to the Chinese Public: Examining Predictive Factors of User Engagement on TikTok in China.

Behav Sci (Basel). 2024-3-2

[6]
Using structural equation modeling to explore the influences of physical activity, mental health, well-being, and loneliness on Douyin usage at bedtime.

Front Public Health. 2023

[7]
Sentiment Impact of Public Health Agency communication Strategies on TikTok under COVID-19 Normalization: Deep Learning Exploration.

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[8]
Effect of daily new cases of COVID-19 on public sentiment and concern: Deep learning-based sentiment classification and semantic network analysis.

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本文引用的文献

[1]
Neutralization of SARS-CoV-2 Omicron sub-lineages BA.1, BA.1.1, and BA.2.

Cell Host Microbe. 2022-8-10

[2]
Social Media, Public Health, and Community Mitigation of COVID-19: Challenges, Risks, and Benefits.

J Med Internet Res. 2022-4-12

[3]
Disparity in Public Perception of Pfizer and Moderna COVID-19 Vaccines on TikTok.

J Adolesc Health. 2022-3

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Healthcare (Basel). 2021-12-31

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Characterizing COVID-19 Content Posted to TikTok: Public Sentiment and Response During the First Phase of the COVID-19 Pandemic.

J Adolesc Health. 2021-8

[8]
The Saudi Ministry of Health's Twitter Communication Strategies and Public Engagement During the COVID-19 Pandemic: Content Analysis Study.

JMIR Public Health Surveill. 2021-7-12

[9]
Dissemination of Mask Effectiveness Misinformation Using TikTok as a Medium.

J Adolesc Health. 2021-5

[10]
Communicating COVID-19 information on TikTok: a content analysis of TikTok videos from official accounts featured in the COVID-19 information hub.

Health Educ Res. 2021-7-12

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