Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3551349.3561343acmotherconferencesArticle/Chapter ViewAbstractPublication PagesaseConference Proceedingsconference-collections
research-article

Privacy Analysis of Period Tracking Mobile Apps in the Post-Roe v. Wade Era

Authors Info & Claims
Published:05 January 2023Publication History

ABSTRACT

To help people manage their health, period tracking apps have become very popular in recent years. However, the U.S. Supreme Court overturned Roe v. Wade on June 24, 2022. Abortion will be banned in more and more states. Since the health data stored in the period tracking apps can be used to infer whether the user has had or is considering an abortion, mobile users are worrying that these apps may disclose their sensitive information, which can be used to prosecute users. Although period tracking apps have received attention from the research community, no existing work has performed a systematic privacy analysis of these apps, especially in the Post-Roe v. Wade era. To fill the void, this paper presents a comprehensive privacy analysis of popular period tracking apps. We first collect 35 popular period tracking apps from Google Play. Then, we analyze the sensitive user data collected by the period tracking apps using traffic analysis and static analysis. Further we inspect their privacy policies and check the consistency of the privacy policy with the app’s behavior. In addition, we analyze the app reviews to understand the users’ concerns about the period tracking apps. Our study reveals that some period tracking apps have indeed collected sensitive information and have the potential to share the data with third-party authorities. It is urgent for these apps to take action to protect user privacy, and mobile users should pay special attention to this kind of apps they used.

References

  1. 2022. App review & ratings analysis for mobile teams. - Appbot. https://appbot.co/.Google ScholarGoogle Scholar
  2. 2022. Flo, the leading female health app, launches ‘Anonymous Mode’ to further protect reproductive health information in wake of Roe v. Wade decision. https://flo.health/press-center/flo-launches-anonymous-mode.Google ScholarGoogle Scholar
  3. 2022. How period tracking apps and data privacy fit into a post-Roe v. Wade climate. https://www.npr.org/2022/05/10/1097482967/roe-v-wade-supreme-court-abortion-period-apps.Google ScholarGoogle Scholar
  4. 2022. U.S. Supreme Court overturns Roe v. Wade, ends constitutional right to abortion. https://www.reuters.com/world/us/us-supreme-court-overturns-abortion-rights-landmark-2022-06-24/.Google ScholarGoogle Scholar
  5. Najd Alfawzan, Markus Christen, Giovanni Spitale, Nikola Biller-Andorno, 2022. Privacy, Data Sharing, and Data Security Policies of Women’s mHealth Apps: Scoping Review and Content Analysis. JMIR mHealth and uHealth 10, 5 (2022), e33735.Google ScholarGoogle Scholar
  6. Kathy Wain Yee Au, Yi Fan Zhou, Zhen Huang, and David Lie. 2012. Pscout: analyzing the android permission specification. In Proceedings of the 2012 ACM conference on Computer and communications security. 217–228.Google ScholarGoogle Scholar
  7. Aldo Cortesi, Maximilian Hils, Thomas Kriechbaumer, and contributors. 2010–. mitmproxy: A free and open source interactive HTTPS proxy. https://mitmproxy.org/ [Version 8.1].Google ScholarGoogle Scholar
  8. Maryam Mehrnezhad and Teresa Almeida. 2021. Caring for intimate data in fertility technologies. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–11.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Laura Shipp and Jorge Blasco. 2020. How private is your period?: A systematic analysis of menstrual app privacy policies.Proc. Priv. Enhancing Technol. 2020, 4 (2020), 491–510.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Privacy Analysis of Period Tracking Mobile Apps in the Post-Roe v. Wade Era

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ASE '22: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
      October 2022
      2006 pages
      ISBN:9781450394758
      DOI:10.1145/3551349

      Copyright © 2022 ACM

      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]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 5 January 2023

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

      Acceptance Rates

      Overall Acceptance Rate82of337submissions,24%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format .

    View HTML Format