Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3524613.3527818acmconferencesArticle/Chapter ViewAbstractPublication PagesicseConference Proceedingsconference-collections
research-article

A tale of two countries: a longitudinal cross-country study of mobile users' reactions to the COVID-19 pandemic through the lens of app popularity

Published: 17 October 2022 Publication History

Abstract

The ongoing COVID-19 pandemic has profoundly impacted people's lives around the world, including how they interact with mobile technologies. In this paper, we seek to develop an understanding of how the dynamic trajectory of a pandemic shapes mobile phone users' experiences. Through the lens of app popularity, we approach this goal from a cross-country perspective. We compile a dataset consisting of six-month daily snapshots of the most popular apps in the iOS App Store in China and the US, where the pandemic has exhibited distinct trajectories. Using this longitudinal dataset, our analysis provides detailed patterns of app ranking during the pandemic at both category and individual app levels. We reveal that app categories' rankings are correlated with the pandemic, contingent upon country-specific development trajectories. Our work offers rich insights into how the COVID-19, a typical global public health crisis, has influence people's day-to-day interaction with the Internet and mobile technologies.

References

[1]
2020. Apptentive. https://www.apptentive.com/blog/2020/02/04/mobile-app-ratings-and-reviews.
[2]
2020. Cohen's d. https://en.wikiversity.org/wiki/Cohen%27s_d.
[3]
2020. Google Statistics. https://news.google.com/covid19/map?hl=ern-US&mid=%2Fg%2F11j3990nlq&gl=US&ceid=US%3Aen.
[4]
2020. Pearson correlation coefficient. https://en.wikipedia.org/wiki/Pearson_correlation_coefcient.
[5]
2020. Ranking Factors. https://moz.com/blog/app-store-rankings-formula-deconstructed-in-5-mad-science-experiments?_ga=2.18395834.2057695595.1604471809-802527328.1604471809.
[6]
2020. Tracking Covid-19 cases in the US. https://www.cnn.com/interactive/2020/health/coronavirus-us-maps-and-cases/.
[7]
2021. App review & ratings tools to level up your whole customer experience. https://appbot.co/.
[8]
2021. Spearman correlation coefficient. https://en.wikipedia.org/wiki/Spearman%27s_rank_correlation_coefcient.
[9]
Nadeem Ahmed, Regio A Michelin, Wanli Xue, Sushmita Ruj, Robert Malaney, Salil S Kanhere, Aruna Seneviratne, Wen Hu, Helge Janicke, and Sanjay K Jha. 2020. A survey of covid-19 contact tracing apps. IEEE Access 8 (2020), 134577--134601.
[10]
N. Ahmed, R. A. Michelin, W. Xue, S. Ruj, R. Malaney, S. S. Kanhere, A. Seneviratne, W. Hu, H. Janicke, and S. K. Jha. 2020. A Survey of COVID-19 Contact Tracing Apps. IEEE Access 8 (2020), 134577--134601.
[11]
Nourah S AlTakarli. 2020. China's response to the COVID-19 outbreak: a model for epidemic preparedness and management. Dubai Medical Journal 3, 2 (2020), 44--49.
[12]
Arndt Büssing, Jutta Hübner, Stefanie Walter, Wolfgang Gießler, and Jens Büntzel. 2020. Tumor Patients' Perceived Changes of Specific Attitudes, Perceptions, and Behaviors Due to the COVID-19 Pandemic and Its Relation to Reduced Wellbeing. Frontiers in psychiatry 11 (2020).
[13]
Laura V Galvis Carreno and Kristina Winbladh. 2013. Analysis of user comments: an approach for software requirements evolution. In 2013 35th international conference on software engineering (ICSE). IEEE, 582--591.
[14]
Hyunghoon Cho, Daphne Ippolito, and Yun William Yu. 2020. Contact tracing mobile apps for COVID-19: Privacy considerations and related trade-offs. arXiv preprint arXiv:2003.11511 (2020).
[15]
Yogesh K Dwivedi, D Laurie Hughes, Crispin Coombs, Ioanna Constantiou, Yanqing Duan, John S Edwards, Babita Gupta, Banita Lal, Santosh Misra, Prakhar Prashant, et al. 2020. Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life. International Journal of Information Management 55 (2020), 102211.
[16]
James D Evans. 1996. Straightforward statistics for the behavioral sciences. Thomson Brooks/Cole Publishing Co.
[17]
Denae Ford, Margaret-Anne Storey, Thomas Zimmermann, Christian Bird, Sonia Jafe, Chandra Maddila, Jenna L. Butler, Brian Houck, and Nachiappan Nagappan. 2020. A Tale of Two Cities: Software Developers Working from Home During the COVID-19 Pandemic. arXiv:arXiv:2008.11147 [cs.SE]
[18]
Vahid Garousi, David Cutting, and Michael Felderer. 2020. Mining user reviews of COVID contact-tracing apps: An exploratory analysis of nine European apps. arXiv preprint arXiv:2012.13589 (2020).
[19]
Robert A Kleinman and Colin Merkel. 2020. Digital contact tracing for COVID-19. CMAJ 192, 24 (2020), E653--E656.
[20]
Amit Kramer and Karen Z Kramer. 2020. The potential impact of the Covid-19 pandemic on occupational status, work from home, and occupational mobility.
[21]
Nuria Oliver, Emmanuel Letouzé, Harald Sterly, Sébastien Delataille, Marco De Nadai, Bruno Lepri, Renaud Lambiotte, Richard Benjamins, Ciro Cattuto, Vittoria Colizza, Nicolas de Cordes, Samuel P. Fraiberger, Till Koebe, Sune Lehmann, Juan Murillo, Alex Pentland, Phuong N Pham, Frédéric Pivetta, Albert Ali Salah, Jari Saramäki, Samuel V. Scarpino, Michele Tizzoni, Stefaan Verhulst, and Patrick Vinck. 2020. Mobile phone data and COVID-19: Missing an opportunity? arXiv:2003.12347 [cs.CY]
[22]
Dennis Pagano and Walid Maalej. 2013. User feedback in the appstore: An empirical study. In 2013 21st IEEE international requirements engineering conference (RE). IEEE, 125--134.
[23]
Frantz Rowe, Ojelanki Ngwenyama, and Jean-Loup Richet. 2020. Contact-tracing apps and alienation in the age of COVID-19. European Journal of Information Systems 29, 5 (2020), 545--562.
[24]
Tanusree Sharma, Tian Wang, and Masooda Bashir. 2020. Advocating for Users' Privacy Protections: A Case study of COVID-19 apps. In 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services. 1--4.
[25]
Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Seyit Camtepe, and Damith C Ranasinghe. 2021. An empirical assessment of global COVID-19 contact tracing applications. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE). IEEE, 1085--1097.
[26]
Liu Wang, Ren He, Haoyu Wang, Pengcheng Xia, Yuanchun Li, Lei Wu, Yajin Zhou, Xiapu Luo, Yulei Sui, Yao Guo, et al. 2021. Beyond the virus: a first look at coronavirus-themed Android malware. Empirical Software Engineering 26, 4 (2021), 1--38.
[27]
Linda Wang and Alexander Wong. 2020. COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images. arXiv preprint arXiv:2003.09871 (2020).
[28]
Jianpeng Zhang, Yutong Xie, Yi Li, Chunhua Shen, and Yong Xia. 2020. Covid-19 screening on chest x-ray images using deep learning based anomaly detection. arXiv preprint arXiv:2003.12338 (2020).

Index Terms

  1. A tale of two countries: a longitudinal cross-country study of mobile users' reactions to the COVID-19 pandemic through the lens of app popularity

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    MOBILESoft '22: Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems
    May 2022
    154 pages
    ISBN:9781450393010
    DOI:10.1145/3524613
    • General Chair:
    • Leonardo Mariani,
    • Program Chairs:
    • Gemma Catolino,
    • Mei Nagappan
    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]

    Sponsors

    In-Cooperation

    • IEEE CS

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 October 2022

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. COVID-19
    2. app popularity
    3. app store
    4. cross crountry

    Qualifiers

    • Research-article

    Funding Sources

    • National Natural Science Foundation of China

    Conference

    MOBILESoft '22
    Sponsor:

    Upcoming Conference

    ICSE 2025

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 49
      Total Downloads
    • Downloads (Last 12 months)19
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 30 Aug 2024

    Other Metrics

    Citations

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media