TY - JOUR
T1 - Unpacking the black box
T2 - How to promote citizen engagement through government social media during the COVID-19 crisis
AU - Chen, Qiang
AU - Min, Chen
AU - Zhang, Wei
AU - Wang, Ge
AU - Ma, Xiaoyue
AU - Evans, Richard
PY - 2020/9
Y1 - 2020/9
N2 - 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.
AB - 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.
KW - citizen engagement
KW - crisis management
KW - dialogic communication theory
KW - emotional valence
KW - government social media
KW - media richness theory
UR - http://www.scopus.com/inward/record.url?scp=85083369875&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85083369875&origin=recordpage
U2 - 10.1016/j.chb.2020.106380
DO - 10.1016/j.chb.2020.106380
M3 - RGC 21 - Publication in refereed journal
C2 - 32292239
SN - 0747-5632
VL - 110
JO - Computers in Human Behavior
JF - Computers in Human Behavior
M1 - 106380
ER -