Joint-sensemaking, innovation, and communication management during crisis
Evidence from the DCT applications in China
Bibliographic Data
| ID | 16899261 |
|---|---|
| Authors | Jingjing Qu (0000-0002-9864-6576, Beijing Academy of Artificial Intelligence), Liwei Chen (0000-0002-7596-9890, Fudan University), Hui Zou (0000-0002-0212-3894, Shanghai University), Hui Hui (0000-0002-6732-4232, Shanghai Jiao Tong University), Wen Zheng (0000-0001-9318-5806, Fudan University), Jar-Der Luo (0000-0002-1387-9849, Tsinghua University), Qingyuan Gong (0000-0001-7942-8752, Fudan University), Yuwei Zhang (0000-0001-7175-4596, Fudan University), Tianyu Wen, Yang Chen (0000-0001-5943-3247, Fudan University, corresponding author) |
| Year | 2024 |
| Volume | 11 |
| Issue | 3 |
| Publication date | 2024-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Big Data & Society (JOURNAL) |
| Journal identifiers | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/20539517241270714 |
| OpenAlex | W4401893723 |
| Language | EN |
| References cited | 54 |
As exemplified by the COVID-19 pandemic, the design and implementation of data-driven health surveillance, like digital contact tracing (DCT) apps, carry significant implications for society. However, its rushed development calls for careful consideration from all involved stakeholders to achieve a shared understanding and engage in joint-sensemaking in order to implement DCT collaboratively and effectively utilize it in the fight against the pandemic. Yet, the empirical ground truth and theoretical mechanism of joint-sensemaking are both unclear. Drawing on this gap, this article applies a multistep approach, including sentiment analysis, topic analysis coupled with regression and unique network analysis, to thoroughly explore, examine, and explain the dynamic process of joint-sensemaking in the context of a public crisis. Based on evidence from 113,264 Weibo posts, we illustrate two joint-sensemaking pathways and three key interventions using the case of China's Health Code in the context of the DCT. We reveal that the effectiveness of different interventions and contributions made by stakeholders vary significantly between different joint-sensemaking pathways. Specifically, we find that official media and opinion leaders act as crucial mediators in bridging intervention conductors and the public. However, their influence presents heterogeneity toward different network modularity, thus leading to distinct patterns. Additionally, inconsistent with previous literature, we find that within the context of the China Health Code, official media has a greater impact on opinion leaders in engaging the public
China · Knowledge management · Political science · Public relations · Sensemaking · Sociology · Computer Science · Engineering · Misinformation and Its Impacts · Opinion Dynamics and Social Influence · Public Relations and Crisis Communication
Examining the Role of Social Media in Effective Crisis Management
Networked Narratives
Facebook language predicts depression in medical records
Big Questions for Social Media Big Data
Personal Influence
Structural Hole Theory in Social Network Analysis
Confronting Covid-19
Problem Solving and Communicative Action
Examining Public Concerns and Attitudes toward Unfair Events Involving Elderly Travelers during the Covid-19 Pandemic Using Weibo Data
Towards a More Holistic Stakeholder Analysis Approach. Mapping Known and Undiscovered Stakeholders from Social Media
The Part Played by Gentiles in the Flow of Mass Communications
How the Cases You Choose Affect the Answers You Get
Topics, Concepts, and Measurement
The Two-Step Flow of Communication
Toxicity and verbal aggression on social media
Analysing discourse around Covid-19 in the Australian Twittersphere
Accounting for "the social" in contact tracing applications
Social media and the social sciences
Communicative strategies for building public confidence in data governance
Going viral
Air pollution lowers Chinese urbanites' expressed happiness on social media
Global evidence of expressed sentiment alterations during the Covid-19 pandemic
Covid-19 and Health Code
Structural Holes and Good Ideas
| Citation velocity | historical |
|---|---|
| Highly cited | No |