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Factors Driving Citizen Engagement With Government TikTok Accounts During the COVID-19 Pandemic: Model Development and Analysis
- Source :
- Journal of Medical Internet Research, Vol 23, Iss 2, p e21463 (2021)
- Publication Year :
- 2021
- Publisher :
- JMIR Publications, 2021.
-
Abstract
- BackgroundDuring 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. ObjectiveThe 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. MethodsUsing 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. ResultsAmong 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
Details
- Language :
- English
- ISSN :
- 14388871
- Volume :
- 23
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Journal of Medical Internet Research
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.2917fca6f7744022826d972950fff98e
- Document Type :
- article
- Full Text :
- https://doi.org/10.2196/21463