Evidence map›Paper›PMID 32292239›Full record

ArticleComputers in human behavior2020

Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis.

Qiang Chen, Chen Min, Wei Zhang, Ge Wang, Xiaoyue Ma, Richard Evans

Open access · greenAbstract read
In one paragraph

Article in Computers in human behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
153citing papers in PubMed, 2 pooled it
151.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

153 citing papers in PubMed, 2 syntheses or guidelines pooled it, 652 citations in OpenAlex.

  1. Pooled it
  2. Social Media Use for Health Purposes: Systematic Review.Journal of medical Internet research · 2021
    Pooled it
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  6. Cute Communication: Can Cute Discourse Be Used in Risk Communication?Behavioral sciences (Basel, Switzerland) · 2025
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93 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Qiang ChenSchool of Journalism and New Media, Xi'an Jiaotong University, China.
Chen MinDepartment of Media and Communication, City University of Hong Kong, Hong Kong, China.
Wei ZhangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, China.
Ge WangCollege of Public Administration, Central China Normal University, China.
Xiaoyue MaSchool of Journalism and New Media, Xi'an Jiaotong University, China.
Richard EvansCollege of Engineering, Design and Physical Sciences, Brunel University London, United Kingdom.
Huazhong University of Science and Technology · CNXi'an Jiaotong University · CNBrunel University of London · GBCentral China Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

citizen engagementcrisis managementdialogic communication theoryemotional valencegovernment social mediamedia richness theory

Identifiers

PMID32292239
PMCPMC7151317
OpenAlexW3015216621

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.