Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/21462
Title: Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis
Authors: Chen, Q
Min, C
Zhang, W
Wang, G
Ma, X
Evans, R
Keywords: government social media;citizen engagement;dialogic communication theory;media richness theory;emotional valence
Issue Date: 12-Apr-2020
Publisher: Elsevier
Citation: Chen, Q., Min, C., Zhang, W., Wang, G., Ma, X. and Evans, R. (2020). Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis. Computers in Human Behavior, [online] 110, p.106380 doi: 10.1016/j.chb.2020.106380
Abstract: 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.
URI: http://bura.brunel.ac.uk/handle/2438/21462
DOI: https://doi.org/10.1016/j.chb.2020.106380
ISSN: 0747-5632
Other Identifiers: 106380
Appears in Collections:Brunel Design School Research Papers

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