TY - GEN
T1 - Privacy during Pandemic
T2 - 4th ACM SIGCAS Conference on Computing and Sustainable Societies, COMPASS 2021
AU - Sharma, Tanusree
AU - Islam, Md Mirajul
AU - Das, Anupam
AU - Haque, S. M.Taiabul
AU - Ahmed, Syed Ishtiaque
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/6/28
Y1 - 2021/6/28
N2 - A large number of mobile phone applications have been built and deployed to combat COVID-19, offering various services to users, including virus information, contact tracing, and symptom monitoring among others. At the same time, the privacy and security vulnerabilities of user data over these apps have become a big concern in many places. To examine this issue, we conducted a mixed-method study with a combined approach of app analysis and an online survey to understand the privacy vulnerabilities of such apps and get an overview of user perceptions around this issue. In addition, we considered the notion of privacy in two different socio-economic contexts (Global North and Global South) to specify similarities and differences in app-specific privacy functionalities (data practices, functional requirements, regulations, etc.) and identify factors that impacted users' decision to use such apps (such as trust, preferences, concerns, motivations, etc.). Thus, this paper presents two diverse sets of opinions from these two geographic regions (including 27 countries), which provide a broader understanding of how the privacy concerns around COVID-19 are connected to various economic, political, and social factors. Furthermore, our analysis of 39 apps provides a deep insight into what many COVID-19 apps are lacking to ensure proper privacy practices and how those issues are entangled with various contextual challenges.
AB - A large number of mobile phone applications have been built and deployed to combat COVID-19, offering various services to users, including virus information, contact tracing, and symptom monitoring among others. At the same time, the privacy and security vulnerabilities of user data over these apps have become a big concern in many places. To examine this issue, we conducted a mixed-method study with a combined approach of app analysis and an online survey to understand the privacy vulnerabilities of such apps and get an overview of user perceptions around this issue. In addition, we considered the notion of privacy in two different socio-economic contexts (Global North and Global South) to specify similarities and differences in app-specific privacy functionalities (data practices, functional requirements, regulations, etc.) and identify factors that impacted users' decision to use such apps (such as trust, preferences, concerns, motivations, etc.). Thus, this paper presents two diverse sets of opinions from these two geographic regions (including 27 countries), which provide a broader understanding of how the privacy concerns around COVID-19 are connected to various economic, political, and social factors. Furthermore, our analysis of 39 apps provides a deep insight into what many COVID-19 apps are lacking to ensure proper privacy practices and how those issues are entangled with various contextual challenges.
UR - https://www.scopus.com/pages/publications/85116306479
UR - https://www.scopus.com/pages/publications/85116306479#tab=citedBy
U2 - 10.1145/3460112.3471958
DO - 10.1145/3460112.3471958
M3 - Conference contribution
AN - SCOPUS:85116306479
T3 - Proceedings of 2021 4th ACM SIGCAS Conference on Computing and Sustainable Societies, COMPASS 2021
SP - 215
EP - 229
BT - Proceedings of 2021 4th ACM SIGCAS Conference on Computing and Sustainable Societies, COMPASS 2021
PB - Association for Computing Machinery, Inc
Y2 - 28 June 2021 through 2 July 2021
ER -