PDF(Pubmed)
Abstract：
During the global COVID-19 pandemic, densely populated megacities engaged in active international exchanges have faced the most severe impacts from both the disease and the associated infodemic. This study examines the factors influencing public participation behavior on government microblogs in these megacities during the pandemic. It guides megacities in disseminating epidemic information, promoting knowledge on epidemic prevention, managing public opinion, and addressing related matters.
Utilizing the elaboration likelihood model\'s central and peripheral routes, drawing on an empirical analysis of 6,677 epidemic-related microblogs from seven Chinese megacities, this study analyses the influence mechanisms influencing public participation behavior and reveals the regulatory role of confirmed case numbers. Meanwhile,a qualitative comparative analysis examines and discusses diferent confgurations of ixn fuential factors.
The study reveals that microblog content richness demonstrates a U-shaped impact on public participation behavior. Conversely, content interaction, content length, and the number of fans positively impact participation, while update frequency has a negative impact. Additionally, the number of new confrmed cases positively regulates the impact of microblog content and publisher characteristics on public participation behavior. Public participation behavior also varies based on publishing time and content semantic features. This study further revealed the different confgurations of influential factors by QCA method.
This study reveals the impact mechanism of the microblog content and publisher characteristics on public participation behavior. It also demonstrates the regulatory role of newly confrmed cases in the way content and publishers\' characteristics influence public participation behavior. This study is of great significance for the operation of government microblogs, the release of emergency information, and the promotion of public participation.
Utilizing the elaboration likelihood model\'s central and peripheral routes, drawing on an empirical analysis of 6,677 epidemic-related microblogs from seven Chinese megacities, this study analyses the influence mechanisms influencing public participation behavior and reveals the regulatory role of confirmed case numbers. Meanwhile,a qualitative comparative analysis examines and discusses diferent confgurations of ixn fuential factors.
The study reveals that microblog content richness demonstrates a U-shaped impact on public participation behavior. Conversely, content interaction, content length, and the number of fans positively impact participation, while update frequency has a negative impact. Additionally, the number of new confrmed cases positively regulates the impact of microblog content and publisher characteristics on public participation behavior. Public participation behavior also varies based on publishing time and content semantic features. This study further revealed the different confgurations of influential factors by QCA method.
This study reveals the impact mechanism of the microblog content and publisher characteristics on public participation behavior. It also demonstrates the regulatory role of newly confrmed cases in the way content and publishers\' characteristics influence public participation behavior. This study is of great significance for the operation of government microblogs, the release of emergency information, and the promotion of public participation.
摘要：
■在全球COVID-19大流行期间，从事活跃的国际交流的人口稠密的特大城市面临着这种疾病和相关疾病的最严重影响。本研究考察了大流行期间影响这些特大城市政府微博公众参与行为的因素。它指导特大城市传播流行病信息，宣传防疫知识,管理公众舆论，解决相关问题。
■利用精细似然模型的中心和外围路线，借鉴了来自中国七个特大城市的6677条与流行病相关的微博的实证分析，本研究分析了影响公众参与行为的影响机制，揭示了确诊病例数的调节作用。同时,定性比较分析检查并讨论了ixnfutent因子的不同混淆。
■研究表明，微博内容丰富度对公众参与行为表现出U型影响。相反，内容交互,内容长度,粉丝的数量对参与有积极影响，而更新频率有负面影响。此外,新增案例数量正向调节微博内容和发布者特征对公众参与行为的影响。公众参与行为也因发布时间和内容语义特征而异。本研究进一步揭示了QCA方法对影响因素的不同理解。
■本研究揭示了微博内容和发布者特征对公众参与行为的影响机制。它还证明了新案例在内容和出版商特征影响公众参与行为的方式中的调节作用。本研究对政务微博的运营具有重要意义,紧急信息的发布，促进公众参与。
■利用精细似然模型的中心和外围路线，借鉴了来自中国七个特大城市的6677条与流行病相关的微博的实证分析，本研究分析了影响公众参与行为的影响机制，揭示了确诊病例数的调节作用。同时,定性比较分析检查并讨论了ixnfutent因子的不同混淆。
■研究表明，微博内容丰富度对公众参与行为表现出U型影响。相反，内容交互,内容长度,粉丝的数量对参与有积极影响，而更新频率有负面影响。此外,新增案例数量正向调节微博内容和发布者特征对公众参与行为的影响。公众参与行为也因发布时间和内容语义特征而异。本研究进一步揭示了QCA方法对影响因素的不同理解。
■本研究揭示了微博内容和发布者特征对公众参与行为的影响机制。它还证明了新案例在内容和出版商特征影响公众参与行为的方式中的调节作用。本研究对政务微博的运营具有重要意义,紧急信息的发布，促进公众参与。
