The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis
Open accessAbstract
During times of public crises, governments must act swiftly to communicate crisis information effectively and efficiently to members of the public; failure to do so will inevitably lead citizens to become fearful, uncertain and anxious in the prevailing conditions. This pioneering study systematically investigates how Chinese central government agencies used social media to promote citizen engagement during the COVID-19 crisis. Using data scraped from 'Healthy China', an official Sina Weibo account of the National Health Commission of China, we examine how citizen engagement relates to a series of theoretically relevant factors, including media richness, dialogic loop, content type and emotional valence. Results show that media richness negatively predicts citizen engagement through government social media, but dialogic loop facilitates engagement. Information relating to the latest news about the crisis and the government's handling of the event positively affects citizen engagement through government social media. Importantly, all relationships were contingent upon the emotional valence of each Weibo post.
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“In a pandemic situation, the way health authorities communicate to the population the available information on risks, treatments, vaccination opportunities, or the need for preventive measures may lead to levels of anxiety that determine success or failure to control the current pandemic (Asmundson and Taylor, 2020, Chen et al., 2020).”
From Health-related factors of psychological distress during the COVID-19 pandemic among non-health workers in Spain (2021) · cites this paper as Chen et al., 2020
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Cites
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Uses and Gratifications Research
Katz, E., Blumler, J. G., & Gurevitch, M. (1973) · Public Opinion Quarterly · doi:10.1086/268109 · Cited by 4,012 · cited 2×
“Personal satisfaction with media will directly determine their subsequent media usage (Katz et al., 1973).”
Hilbe, J. M. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511973420 · Cited by 3,352
Message Equivocality, Media Selection, and Manager Performance: Implications for Information Systems
Daft, R. L., Lengel, R. H., & Treviño, L. K. (1987) · MIS Quarterly · doi:10.2307/248682 · Cited by 2,322
Hilbe, J. M. (2007) · Cambridge University Press eBooks · doi:10.1017/cbo9780511811852.007 · Cited by 1,998
Emotion Elicits the Social Sharing of Emotion: Theory and Empirical Review
Rimé, B. (2009) · Emotion Review · doi:10.1177/1754073908097189 · Cited by 1,546 · cited 4×
“Emotion will trigger the social sharing of emotion: individuals will openly talk about the specific environment where the emotional event occurred and their own feelings and emotional response with others, or they will share their own emotions by way of letters, journals and other indirect methods (Rim�e, 2009).”
InfluentialBuilding dialogic relationships through the world wide web
Kent, M. L., & Taylor, M. (1998) · Public Relations Review · doi:10.1016/s0363-8111(99)80143-x · Cited by 1,245
Dialogic Engagement: Clarifying Foundational Concepts
Taylor, M., & Kent, M. L. (2014) · Journal of Public Relations Research · doi:10.1080/1062726x.2014.956106 · Cited by 773
Social Media in Disaster Risk Reduction and Crisis Management
Alexander, D. (2013) · Science and Engineering Ethics · doi:10.1007/s11948-013-9502-z · Cited by 593
Rybalko, S., & Seltzer, T. (2010) · Public Relations Review · doi:10.1016/j.pubrev.2010.08.004 · Cited by 551
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Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., Gupta, B., Lal, B., Misra, S., Prashant, P., et al. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102211 · Cited by 1,232
COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies
Beaunoyer, E., Dupéré, S., & Guitton, M. J. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106424 · Cited by 1,114
Puri, N., Coomes, E. A., Haghbayan, H., & Gunaratne, K. (2020) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2020.1780846 · Cited by 1,229
Social Media Use for Health Purposes: Systematic Review
Chen, J., & Wang, Y. (2021) · Journal of Medical Internet Research · doi:10.2196/17917 · Cited by 1,073
What social media told us in the time of COVID-19: A scoping review
Tsao, S.-F., Chen, H., Tisseverasinghe, T., Yang, Y., Li, L., & Butt, Z. A. (2021) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30315-0 · Cited by 816
Metadata
- Authors
- Chen, Q., Min, C., Zhang, W., Wang, G., Ma, X., & Evans, R.
- Affiliations
- Xi'an Jiaotong University (CN)
- City University of Hong Kong (HK)
- Huazhong University of Science and Technology (CN)
- Central China Normal University (CN)
- Brunel University of London (GB)
- Corresponding author
- Zhang, Wei
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 110
- Pages
- 106380
- ISSN
- 0747-5632 (ISSN-L)
- PMC
- PMC7151317
- OpenAlex
- W3015216621
- Cited by
- 652
- References
- 72
- Citations by year
- 2026: 33 · 2025: 64 · 2024: 90 · 2023: 120 · 2022: 133 · 2021: 164 · 2020: 48
- FWCI
- 139.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Computers in Human Behavior (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion)
- Funders
- National Social Science Foundation of China (17CXW026)
- Topics
- Social Sciences › Communication › Public Relations and Crisis Communication
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Keywords
- citizen participation, government social media, COVID-19 pandemic, crisis communication, Weibo, media richness, content types, emotional valence
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