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提高政府媒体应对突发公共卫生事件的沟通和公信力:对 10 位中国卫生局长微信公众号推文的分析。

Improving the Communication and Credibility of Government Media in Response to Public Health Emergencies: Analysis of Tweets From the WeChat Official Accounts of 10 Chinese Health Commissioners.

机构信息

College of Management, Chengdu University of Technology, Chengdu, China.

出版信息

Front Public Health. 2022 Jul 22;10:900776. doi: 10.3389/fpubh.2022.900776. eCollection 2022.

DOI:10.3389/fpubh.2022.900776
PMID:35937264
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9354850/
Abstract

BACKGROUND

A significant public health emergency has appeared worldwide since the beginning of 2020. The spread of negative information about COVID-19 on social media poses a challenge and threat to public health disposition and the credibility of government public opinion.

OBJECTIVE

This study aimed to analyze the rules and characteristics of government media in disseminating information on public emergencies. In addition, find ways and means to improve government media's communication power and credibility.

METHOD

Based on relevant theories and measures of information econometrics, 10 WeChat official accounts of the Chinese government were taken as examples. The Python crawler tool was used to collect data of 10 WeChat official accounts-related tweets. In addition, this study used various tools, such as ROST, UCINET, and SPSS, for statistical analysis and co-word analysis of the data.

RESULT

From January 17 to March 31, 2020, 6,612 COVID-19-related tweets were published by 10 WeChat official accounts, which broadcast epidemic overview, epidemic prevention and control, science and disinformation, epidemic assistance, epidemic impact, and negative impact. By analyzing the posting time and content of the tweets, we found that changes in the number of articles posted by the WeChat and changes in content and the progress of the COVID-19 pandemic are nearly synchronized, and most tweets are published at 8:00 am. Furthermore, based on the analytics of high dissemination index and high-frequency words, we propose that there is a significant correlation between the strength of independence and the credibility of the WeChat official account.

CONCLUSION

The three elements of WeChat communication (value, interest, and moving) and the degree of independent innovation of public numbers impact the communication power and credibility of government media. First, if the articles published by the WeChat official account are valuable, interesting, and moving, the communication power of the WeChat official account would get more powerful. Second, increased ability for independent innovation has a positive impact on enhancing the WeChat official account's credibility. Third, government media can improve its governance effects of public health emergencies by enhancing their communication power and credibility.

摘要

背景

自 2020 年初以来,全球范围内出现了重大公共卫生紧急情况。社交媒体上关于 COVID-19 的负面信息传播对公众健康处置和政府舆论公信力构成了挑战和威胁。

目的

本研究旨在分析政府媒体在突发公共事件中传播信息的规律和特点。此外,寻找提高政府媒体传播力和公信力的途径和方法。

方法

基于信息计量经济学的相关理论和措施,选取 10 个中国政府微信公众号作为案例。使用 Python 爬虫工具收集了 10 个微信公众号相关推文的数据。此外,本研究还使用了各种工具,如 ROST、UCINET 和 SPSS,对数据进行了统计分析和共词分析。

结果

从 2020 年 1 月 17 日至 3 月 31 日,10 个微信公众号共发布了 6612 条与 COVID-19 相关的推文,内容涵盖疫情概况、疫情防控、科学与辟谣、疫情援助、疫情影响和负面影响。通过分析推文的发布时间和内容,我们发现微信公众号文章数量的变化与疫情的发展和变化几乎同步,且大部分推文都在上午 8 点发布。此外,基于高传播指数和高频词的分析,我们提出微信公众号的独立性和可信度之间存在显著相关性。

结论

微信传播的三个要素(价值、兴趣和感动)和公众号的独立创新程度影响政府媒体的传播力和公信力。首先,如果微信公众号发布的文章有价值、有趣味性和感染力,那么微信公众号的传播力将会更强大。其次,提高独立创新能力对增强微信公众号的可信度有积极影响。第三,政府媒体可以通过增强其传播力和公信力来提高其对突发公共卫生事件的治理效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c2a/9354850/e9f9edef11a5/fpubh-10-900776-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c2a/9354850/16591db58872/fpubh-10-900776-g0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c2a/9354850/e9f9edef11a5/fpubh-10-900776-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c2a/9354850/16591db58872/fpubh-10-900776-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c2a/9354850/f0f4ad020b71/fpubh-10-900776-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c2a/9354850/47c0539202f2/fpubh-10-900776-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c2a/9354850/582568218585/fpubh-10-900776-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c2a/9354850/97de77f491f0/fpubh-10-900776-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c2a/9354850/48cd2d323bf3/fpubh-10-900776-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c2a/9354850/0e2731108d27/fpubh-10-900776-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c2a/9354850/e9f9edef11a5/fpubh-10-900776-g0008.jpg

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2
Does government social media promote users' information security behavior towards COVID-19 scams? Cultivation effects and protective motivations.政府社交媒体是否能促进用户针对新冠疫情诈骗的信息安全行为?培养效应与保护动机。
Gov Inf Q. 2021 Apr;38(2):101572. doi: 10.1016/j.giq.2021.101572. Epub 2021 Jan 23.
3
Evaluating Rumor Debunking Effectiveness During the COVID-19 Pandemic Crisis: Utilizing User Stance in Comments on Sina Weibo.
The impact of Public Health Emergency (PHE) on the news dissemination strength: Evidence from Chinese-Speaking Vloggers on YouTube.
突发公共卫生事件(PHE)对新闻传播力的影响:来自 YouTube 上中文博主的证据。
PLoS One. 2023 Nov 29;18(11):e0294665. doi: 10.1371/journal.pone.0294665. eCollection 2023.
4
Psychometric evaluation of the Chinese version of the media Health Literacy Questionnaire: A validation study.中文版媒体健康素养问卷的心理测量学评价:一项效度研究。
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5
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6
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J Glob Health. 2023 Apr 14;13:06005. doi: 10.7189/jogh.13.06005.
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