Privacy at risk? Understanding the perceived privacy protection of health code apps in China
Datos Bibliográficos
| ID | 5260601 |
|---|---|
| Autores | Gejun Huang (0000-0002-1059-4354, Soochow University, autor de correspondencia), An Hu (0000-0002-4939-3277, The University of Texas at Austin), Wenhong Chen (0000-0003-0521-2267) |
| Año | 2022 |
| Volumen | 9 |
| Número | 2 |
| Fecha de publicación | 2022-07-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Big Data & Society (JOURNAL) |
| Identificadores de la revista | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/20539517221135132 |
| OpenAlex | W4313171103 |
| Idioma | EN |
| Citas recibidas | 8 |
| Referencias citadas | 40 |
As a key constituent of China's approach to fighting COVID-19, Health Code apps (HCAs) not only serve the pandemic control imperatives but also exercise the agency of digital surveillance. As such, HCAs pave a new avenue for ongoing discussions on contact tracing solutions and privacy amid the global pandemic. This article attends to the perceived privacy protection among HCA users via the lens of the contextual integrity theory. Drawing on an online survey of adult HCA users in Wuhan and Hangzhou (N = 1551), we find users' perceived convenience, attention towards privacy policy, trust in government, and acceptance of government purposes regarding HCA data management are significant contributors to users' perceived privacy protection in using the apps. By contrast, users' frequency of mobile privacy protection behaviors has limited influence, and their degrees of perceived protection do not vary by sociodemographic status. These findings shed new light on China's distinctive approach to pandemic control with respect to the state's expansion of big data-driven surveillance capacity. Also, the findings foreground the heuristic value of contextual integrity theory to examine controversial digital surveillance in non-Western contexts. Put tougher, our findings contribute to the thriving scholarly conversations around digital privacy and surveillance in China, as well as contact tracing solutions and privacy amid the global pandemic
Business · Computer security · Information privacy · Internet privacy · Political science · Privacy policy · Privacy Protection · Computer Science · COVID-19 Digital Contact Tracing · Privacy, Security, and Data Protection · Sexuality, Behavior, and Technology
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Regulating China's health code system to prepare for future pandemics
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Understanding satisfaction in information security management
Mark Shepard, There are No Facts. Attentive Algorithms, Extractive Data Practices, and the Quantification of Everyday Life
Protecting society from itself
Digital Surveillance and Self-Censorship in Autocracies
Authoritarian Surveillance and Public Support for Digital Governance Solutions
Digital Literacy and Privacy Behavior Online
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On the responsible use of digital data to tackle the Covid-19 pandemic
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Red, yellow, green or golden
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Blissfully ignorant
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Americans’ willingness to adopt a Covid-19 tracking app
Stepwise Regression in Social and Psychological Research
Privacy in Context
Chinese Public’s Support for Covid-19 Surveillance in Relation to the West
China’s social credit systems and public opinion
Exploring privacy paradox in contact tracing apps adoption
Digital surveillance in post‐coronavirus China
Self-censorship of regime support in authoritarian states
The biggest lie on the Internet
Innovation under pressure
Making sense of algorithms
Shameful Secrets and Self-Presentation
| Obras citantes distintas | 8 |
|---|---|
| Citas por año | 2,67 |
| Intervalo de citas | 2023 - 2026 (4) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 8 |