research-article

Market-level analysis of government-backed COVID-19 contact tracing apps

Authors:

Huiyi Wang,

Liu Wang,

Haoyu WangAuthors Info & Claims

ASE '20: Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering

Pages 79 - 84

https://doi.org/10.1145/3417113.3422186

Published: 22 January 2021 Publication History

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Abstract

To help curb the spread of the COVID-19 pandemic, governments and public health authorities around the world have launched a number of contact-tracing apps. Although contact tracing apps have received extensive attentions from the research community, no existing work has characterized the users' adoption of contact tracing apps from the app market level. In this work, we perform the first market-level analysis of contact tracing apps. We perform a longitudinal empirical study (over 4 months) of eight government-backed COVID-19 contact tracing apps in iOS app store. We first collect all the daily meta information (e.g., app updates, app rating, app comments, etc.) of these contact tracing apps from their launch to 2020-07-31. Then we characterize them from release practice, app popularity, and mobile users' feedback. Our study reveals various issues related to contact tracing apps from the users' perspective, hoping to help improve the quality of contact tracing apps and thus achieving a high level of adoption in the population.

References

[1]

Contact tracing. https://en.wikipedia.org/wiki/Contact_tracing, 2020.

Google Scholar

[2]

Contact tracing. https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html, 2020.

Google Scholar

[3]

Ren He, Haoyu Wang, Pengcheng Xia, Liu Wang, Yuanchun Li, Lei Wu, Yajin Zhou, Xiapu Luo, Yao Guo, and Guoai Xu. Beyond the virus: A first look at coronavirus-themed mobile malware. arXiv preprint arXiv:2005.14619, 2020.

Google Scholar

[4]

Stacy Hobson, Michael Hind, Aleksandra Mojsilovic, and Kush R. Varshney. Trust and transparency in contact tracing applications. arXiv preprint arXiv:2006.11356, 2020.

Google Scholar

[5]

Tianshi Li, Jackie, Yang, Cori Faklaris, Jennifer King, Yuvraj Agarwal, Laura Dabbish, and Jason I. Hong. Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in covid-19 contact-tracing apps. arXiv preprint arXiv:2005.11957, 2020.

Google Scholar

[6]

Joseph K. Liu, Man Ho Au, Tsz Hon Yuen, Cong Zuo, Jiawei Wang, Amin Sakzad, Xiapu Luo, and Li Li. Privacy-preserving covid-19 contact tracing app: A zero-knowledge proof approach. Cryptology ePrint Archive, Report 2020/528, 2020. https://eprint.iacr.org/2020/528.

Google Scholar

[7]

Elissa M. Redmiles. User concerns tradeoffs in technology-facilitated contact tracing. arXiv preprint arXiv:2004.13219, 2020.

Google Scholar

[8]

Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Seyit Camtepe, and Damith Ranasinghe. Vetting security and privacy of global covid-19 contact tracing applications. arXiv preprint arXiv:2006.10933, 2020.

Google Scholar

[9]

Haoyu Wang, Hao Li, and Yao Guo. Understanding the evolution of mobile app ecosystems: A longitudinal measurement study of google play. In The World Wide Web Conference, page 1988--1999, 2019.

Digital Library

Google Scholar

[10]

Haoyu Wang, Zhe Liu, Jingyue Liang, Narseo Vallina-Rodriguez, Yao Guo, Li Li, Juan Tapiador, Jingcun Cao, and Guoai Xu. Beyond google play: A large-scale comparative study of chinese android app markets. In Proceedings of IMC 2018, pages 293--307, 2018.

Digital Library

Google Scholar

[11]

Pengcheng Xia, Haoyu Wang, Xiapu Luo, Lei Wu, Yajin Zhou, Guangdong Bai, Guoai Xu, Gang Huang, and Xuanzhe Liu. Don't fish in troubled waters! characterizing coronavirus-themed cryptocurrency scams. arXiv preprint arXiv:2007.13639, 2020.

Google Scholar

Cited By

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Ayalon OLi SPreneel BRedmiles E(2023)Not Only for Contact TracingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35703486:4(1-26)Online publication date: 11-Jan-2023
https://dl.acm.org/doi/10.1145/3570348
Malavolta IGhaleb TDavid IRooijen JStoelinga M(2022)Engineering Mobile Apps for Disaster Management: The Case of COVID-19 Apps in the Google Play StoreIEEE Software10.1109/MS.2021.312997839:3(31-42)Online publication date: May-2022
https://doi.org/10.1109/MS.2021.3129978
Dąbrowski JLetier EPerini ASusi A(2022)Analysing app reviews for software engineering: a systematic literature reviewEmpirical Software Engineering10.1007/s10664-021-10065-727:2Online publication date: 20-Jan-2022
https://dl.acm.org/doi/10.1007/s10664-021-10065-7
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Market-level analysis of government-backed COVID-19 contact tracing apps

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Information

Published In

ASE '20: Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering

September 2020

195 pages

ISBN:9781450381284

DOI:10.1145/3417113

General Chair:
John Grundy,
Program Chairs:
Claire Le Goues,
David Lo

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 January 2021

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ASE '20

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ASE '20: 35th IEEE/ACM International Conference on Automated Software Engineering

September 21 - 25, 2020

Virtual Event, Australia

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Overall Acceptance Rate 82 of 337 submissions, 24%

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Cited By

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Ayalon OLi SPreneel BRedmiles E(2023)Not Only for Contact TracingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35703486:4(1-26)Online publication date: 11-Jan-2023
https://dl.acm.org/doi/10.1145/3570348
Malavolta IGhaleb TDavid IRooijen JStoelinga M(2022)Engineering Mobile Apps for Disaster Management: The Case of COVID-19 Apps in the Google Play StoreIEEE Software10.1109/MS.2021.312997839:3(31-42)Online publication date: May-2022
https://doi.org/10.1109/MS.2021.3129978
Dąbrowski JLetier EPerini ASusi A(2022)Analysing app reviews for software engineering: a systematic literature reviewEmpirical Software Engineering10.1007/s10664-021-10065-727:2Online publication date: 20-Jan-2022
https://dl.acm.org/doi/10.1007/s10664-021-10065-7
Dong CBharambe SBick M(2022)Why Do People Not Install Corona-Warn-App? Evidence from Social MediaInformation Systems10.1007/978-3-030-95947-0_21(305-318)Online publication date: 16-Feb-2022
https://doi.org/10.1007/978-3-030-95947-0_21
Chakraborty DSiddiqui ASiddiqui M(2022)Citizen's adoption intention toward contact tracing apps: An analysis using innovation resistance theoryJournal of Public Affairs10.1002/pa.284423:1Online publication date: 26-Sep-2022
https://doi.org/10.1002/pa.2844
Bardus MAl Daccache MMaalouf NAl Sarih RElhajj I(2021)COVID-19 Contact Tracing Apps Data Management and Privacy Policy: A Systematic Review and Content Analysis (Preprint)JMIR mHealth and uHealth10.2196/35195Online publication date: 24-Nov-2021
https://doi.org/10.2196/35195

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