In times of crisis
Public perceptions toward Covid-19 contact tracing apps in China, Germany, and the United States
Bibliographic Data
| ID | 12656304 |
|---|---|
| Authors | Genia Kostka (0000-0002-3696-9513, Freie Universität Berlin, corresponding author), Sabrina Habich‐sobiegalla (0000-0002-1316-7841, Freie Universität Berlin) |
| Year | 2022 |
| Volume | 26 |
| Issue | 4 |
| Pages | 2256-2294 |
| Publication date | 2022-04-03 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | New Media & Society (JOURNAL) |
| Journal identifiers | ISSN: 1461-4448 • E-ISSN: 1461-7315 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/14614448221083285 |
| OpenAlex | W4226297776 |
| Language | EN |
| Citations received | 20 |
| References cited | 52 |
The adoption of COVID-19 contact tracing apps (CTAs) has been proposed as an important measure to contain the spread of COVID-19. Based on a cross-national dataset, this article analyzes public perceptions toward CTAs and the factors that drive CTA acceptance in China, Germany, and the United States. We find that public acceptance of CTAs is significantly higher in China as compared with Germany and the United States. Despite very different sociopolitical contexts, there are striking similarities in the factors that drive CTA acceptance in all three countries. Citizens are willing to accept digital contact tracing despite concerns about privacy infringement and government surveillance, as long as the apps are perceived as effective in lowering infection rates and providing health information. This creates a chicken-and-egg problem for CTAs in Germany and the United States where CTAs are voluntary: a high citizen adoption rate is necessary for CTAs to be effective, but CTAs are only effective if adoption rates are high
2019-20 coronavirus outbreak · Business · China · Contact tracing · Coronavirus disease 2019 (COVID-19 · Demographic economics · Economics · Government (linguistics · Perception · Political science · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Law · Medicine · Privacy, Security, and Data Protection · Psychology
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| Unique citing works | 20 |
|---|---|
| Citations per year | 5 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 20 |