School of Management, Xi'an Polytechnic University, Xi'an, China.
School of International Economics, Shaanxi Institute of International Trade and Commerce, Xi'an, China.
Front Public Health. 2024 Mar 8;12:1337107. doi: 10.3389/fpubh.2024.1337107. eCollection 2024.
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.
在全球 COVID-19 大流行期间，人口密集的特大城市积极开展国际交流，面临着来自疾病和相关信息疫情的最严重影响。本研究考察了在疫情期间这些特大城市公众对政府微博参与行为的影响因素。它指导特大城市传播疫情信息，促进疫情防控知识，管理舆论，解决相关问题。
利用详尽可能性模型的中心和边缘途径，对来自中国七个特大城市的 6677 条与疫情相关的微博进行实证分析，本研究分析了影响公众参与行为的影响机制，并揭示了确诊病例数的调节作用。同时，定性比较分析考察和讨论了不同配置的影响因素。
研究表明，微博内容丰富度对公众参与行为呈 U 型影响。相反，内容互动、内容长度和粉丝数量对参与行为有积极影响，而更新频率则有负面影响。此外，新确诊病例数正向调节微博内容和发布者特征对公众参与行为的影响。公众参与行为还因发布时间和内容语义特征而异。本研究还通过 QCA 方法揭示了影响因素的不同配置。
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。它还证明了新确诊病例在内容和发布者特征影响公众参与行为方面的调节作用。本研究对政府微博的运作、应急信息的发布和公众参与的促进具有重要意义。
