张韦
论文成果
Factors Driving Citizen Engagement With Government TikTok Accounts During the COVID-19 Pandemic: Model Development and Analysis
发布时间：2021-07-14 点击次数：
第一作者：Chen Qiang
通讯作者：Zhang Wei
合写作者：Min Chen,Ma Xiaoyue,Richard Evans
发表刊物：Journal of Medical Internet Research
收录刊物：SCI
卷号：23
期号：2
页面范围：e21463
关键字：government social media; citizen engagement; public health crisis; TikTok; emotion valence; dialogic loop; COVID-19
DOI码：10.2196/21463
发表时间：2021-03-31
影响因子：5.43
摘要：Background: During the COVID-19 pandemic, growth in citizen engagement with social media platforms has enabled public
health departments to accelerate and improve health information dissemination, developing transparency and trust between
governments and citizens. In light of these benefits, it is imperative to learn the antecedents and underlying mechanisms for this to maintain and enhance engagement.
Objective: The aim of this study is to determine the factors and influencing mechanisms related to citizen engagement with the
TikTok account of the National Health Commission of China during the COVID-19 pandemic.
Methods: Using a web crawler, 355 short videos were collected from the Healthy China account on TikTok (with more than 3
million followers throughout China), covering the period from January 21, 2020, to April 25, 2020. The title and video length,
as well as the number of likes, shares, and comments were collected for each video. After classifying them using content analysis, a series of negative binomial regression analyses were completed.
Results: Among the 355 videos, 154 (43.4%) related to guidance for clinicians, patients, and ordinary citizens, followed by
information concerning the government’s handling of the pandemic (n=100, 28.2%), the latest news about COVID-19 (n=61,
17.2%), and appreciation toward frontline emergency services (n=40, 11.3%). Video length, titles, dialogic loop, and content
type all influenced the level of citizen engagement. Specifically, video length was negatively associated with the number of likes
(incidence rate ratio [IRR]=0.19, P<.001) and comments (IRR=0.39, P<.001). Title length was positively related to the number of shares (IRR=24.25, P=.01), likes (IRR=8.50, P=.03), and comments (IRR=7.85, P=.02). Dialogic loop negatively predicted
the number of shares (IRR=0.56, P=.03). In comparison to appreciative information, information about the government’s handling of the situation (IRR=5.16, P<.001) and guidelines information (IRR=7.31, P<.001) were positively correlated with the number of shares, while the latest news was negatively related to the number of likes received (IRR=0.46, P=.004). More importantly, the relationship between predictors and citizen engagement was moderated by the emotional valence of video titles. Longer videos with positive titles received a higher number of likes (IRR=21.72, P=.04) and comments (IRR=10.14, P=.047). Furthermore, for short videos related to government handling of the pandemic (IRR=14.48, P=.04) and guidance for stakeholders (IRR=7.59,P=.04), positive titles received a greater number of shares. Videos related to the latest news (IRR=66.69, P=.04) received more likes if the video title displayed higher levels of positive emotion.
Conclusions: During the COVID-19 pandemic, videos were frequently published on government social media platforms. Video length, title, dialogic loop, and content type significantly influenced the level of citizen engagement. These relationships were moderated by the emotional valence of the video’s title. Our findings have implications for maintaining and enhancing citizen engagement via government social media.