It's (Not) Like the Flu”
Expert Narratives and the Covid ‐19 Pandemic in Mainland China, Hong Kong, and the United States
Bibliographic Data
| ID | 12136148 |
|---|---|
| Authors | Larry Au (0000-0003-0642-9134, Department of Sociology The City College of New York New York NY, corresponding author), Zheng Fu (0000-0002-7391-6912, Department of Sociology Columbia University New York NY, corresponding author), Chuncheng Liu (0000-0001-5842-7988, Department of Sociology University of California San Diego La Jolla CA, corresponding author) |
| Year | 2022 |
| Volume | 37 |
| Issue | 3 |
| Pages | 722-743 |
| Publication date | 2022-06-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sociological Forum (JOURNAL) |
| Journal identifiers | ISSN: 0884-8971 • E-ISSN: 1573-7861 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/socf.12819 |
| PMID | 35935667 |
| OpenAlex | W4281653349 |
| Language | EN |
| Citations received | 9 |
| References cited | 33 |
We trace the crafting of expert narratives during the initial months of the COVID-19 pandemic in Mainland China, Hong Kong, and the United States. By expert narratives, we refer to how experts drew different lessons from past disease experiences to guide policymakers and the public amidst uncertainty. These expert narratives were mobilized in different sociopolitical contexts, resulting in varying configurations of expertise networks and allies that helped contain and mitigate COVID-19. In Mainland China, experts carefully advanced a managed narrative, emphasizing the new pandemic akin to the 2003 SARS outbreak can be managed while destressing the similar mistakes the government made during the two crises. In Hong Kong, experts invoked a distrust narrative, pointing to a potential coverup of COVID-19 similar to SARS, activating allies in civil society to pressure policymakers to act. In the United States, experts were mired in a contested narrative and COVID-19 was compared to different diseases; varying interpretations of COVID-19's consequences was exacerbated by political polarization. In expert narratives, the resonance of the past is emergent: the past becomes a site of struggle and a cultural object that is presented as potentially useful in solving problems of the present
China · Coronavirus disease 2019 (COVID-19 · Disease · Distrust · Government (linguistics · Infectious disease (medical specialty · Mainland China · Narrative · Pandemic · Political science · Politics · Public relations · Sociology · Crime, Deviance, and Social Control · Disaster Management and Resilience · Law · Medicine · Public Administration · Southeast Asian Sociopolitical Studies
Ethnographies of Human‐AI Collaborations
The Blind Spots of Sociotechnical Imaginaries
Beyond Lab and Field
The Experts on the Past
The Politics of Pandemic Emotions
The sociology of global health
Moving in the time of Covid-19
Understanding Chinese authoritative experts and their roles in China's Covid ‐19 policy response process
Variations of science-related populism in comparative perspective
Intimate Interventions in Global Health
Best Laid Plans
Abductive Analysis
Never Saw It Coming
Coronavirus Infections—More Than Just the Common Cold
The Sociology of Global Health
The Politics of Compassion
Policymaking in a low-trust state
Collisions Between Institutional and Populist Risk Imaginaries
Fighting Covid-19 in Hong Kong
Disease and Democracy
Crippled community governance and suppressed scientific/professional communities
Contagious
Making sense of algorithms
Culture in Action
Key Factors in Frame Building
Climate change as an event
Whose Advice is Credible? Claiming Lay Expertise in a Covid-19 Online Community
A Theory of Resonance
Flexible Coding of In-depth Interviews
Tackling Covid-19 risk in Hong Kong
Conclusions
Introduction
Social Memory Studies
Introduction
Beyond Strong and Weak
For a Sociology of Expertise
The Vietnam Veterans Memorial
Pragmatism and the untenable dualism of means and ends
| Unique citing works | 9 |
|---|---|
| Citations per year | 2,25 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 8 |