research-article

“Money makes the world go around”: Identifying Barriers to Better Privacy in Children’s Apps From Developers’ Perspectives

Authors:

Anirudh Ekambaranathan,

Max Van KleekAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 46, Pages 1 - 15

https://doi.org/10.1145/3411764.3445599

Published: 07 May 2021 Publication History

Abstract

The industry for children’s apps is thriving at the cost of children’s privacy: these apps routinely disclose children’s data to multiple data trackers and ad networks. As children spend increasing time online, such exposure accumulates to long-term privacy risks. In this paper, we used a mixed-methods approach to investigate why this is happening and how developers might change their practices. We base our analysis against 5 leading data protection frameworks that set out requirements and recommendations for data collection in children’s apps. To understand developers’ perspectives and constraints, we conducted 134 surveys and 20 semi-structured interviews with popular Android children’s app developers. Our analysis revealed that developers largely respect children’s best interests; however, they have to make compromises due to limited monetisation options, perceived harmlessness of certain third-party libraries, and lack of availability of design guidelines. We identified concrete approaches and directions for future research to help overcome these barriers.

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References

[1]

[n.d.]. Ads and Monetization - Play Console Help. https://support.google.com/googleplay/android-developer/answer/9898834

[2]

[n.d.]. Apple Arcade. https://www.apple.com/apple-arcade/

[3]

[n.d.]. Choosing a Business Model - App Store. https://developer.apple.com/app-store/business-models/

[4]

[n.d.]. Designing Apps for Children and Families - Play Console Help. https://support.google.com/googleplay/android-developer/answer/9893335?hl=en

[5]

[n.d.]. Families Ads Program. https://support.google.com/googleplay/android-developer/answer/9900633

[6]

[n.d.]. Participate in the Families Ads Program - Play Console Help. https://support.google.com/googleplay/android-developer/answer/9283445

[7]

[n.d.]. UNICEF Industry Toolkits. https://www.unicef.org/csr/ict_tools.html

[8]

[n.d.]. User Privacy and Data Use - App Store. https://developer.apple.com/app-store/user-privacy-and-data-use/

[9]

[n.d.]. Using the Freemium Business Model - App Store. https://developer.apple.com/app-store/freemium-business-model/

[10]

2019. Can Google’s Non-Advertising Revenue Streams Mitigate Impact Of Slowing Advertising Growth?https://www.forbes.com/sites/greatspeculations/2019/11/04/can-googles-non-advertising-revenue-streams-mitigate-impact-of-slowing-advertising-growth/

[11]

2020. Age appropriate design: a code of practice for online services. https://ico.org.uk/media/for-organisations/guide-to-data-protection/key-data-protection-themes/age-appropriate-design-a-code-of-practice-for-online-services-2-1.pdf

[12]

2020. Complying with COPPA: Frequently Asked Questions. https://www.ftc.gov/tips-advice/business-center/guidance/complying-coppa-frequently-asked-questions-0

[13]

Amelia Acker and Leanne Bowler. 2018. Youth data literacy: teen perspectives on data created with social media and mobile devices. (2018).

[14]

Alessandro Acquisti, Curtis Taylor, and Liad Wagman. 2016. The economics of privacy. Journal of Economic Literature 54, 2 (2016), 442–92.

[15]

Jonathan Anderson, Joseph Bonneau, and Frank Stajano. 2010. Inglorious Installers: Security in the Application Marketplace. In WEIS. Citeseer.

[16]

Hala Assal and Sonia Chiasson. 2019. ’Think secure from the beginning’: A Survey with Software Developers. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, 289.

Digital Library

[17]

Jane Bailey. 2015. A perfect storm: How the online environment, social norms and law shape girls’ lives. (2015).

[18]

Maria Teresa Baldassarre, Alessandro Bianchi, Danilo Caivano, and Giuseppe Visaggio. 2005. An industrial case study on reuse oriented development. In 21st IEEE International Conference on Software Maintenance (ICSM’05). IEEE, 283–292.

Digital Library

[19]

Rebecca Balebako, Jaeyeon Jung, Wei Lu, Lorrie Faith Cranor, and Carolyn Nguyen. 2013. Little brothers watching you: Raising awareness of data leaks on smartphones. In Proceedings of the Ninth Symposium on Usable Privacy and Security. ACM, 12.

Digital Library

[20]

Rebecca Balebako, Abigail Marsh, Jialiu Lin, Jason I Hong, and Lorrie Cranor. 2014. The privacy and security behaviors of smartphone app developers. (2014).

[21]

Kenneth A Bamberger, Serge Egelman, Catherine Han, Amit Elazari Bar On, and Irwin Reyes. 2020. Can you pay for privacy? consumer expectations and the behavior of free and paid apps. Berkeley Technology Law Journal 35 (2020).

[22]

Richard Stuart Best. 2017. Growing up with the internet: 2nd Report of Session 2016–17. (2017).

[23]

Reuben Binns, Ulrik Lyngs, Max Van Kleek, Jun Zhao, Timothy Libert, and Nigel Shadbolt. 2018. Third party tracking in the mobile ecosystem. In Proceedings of the 10th ACM Conference on Web Science. ACM, 23–31.

Digital Library

[24]

Theodore Book, Adam Pridgen, and Dan S Wallach. 2013. Longitudinal analysis of android ad library permissions. arXiv preprint arXiv:1303.0857(2013).

[25]

Leanne Bowler, Amelia Acker, Wei Jeng, and Yu Chi. 2017. “It lives all around us”: Aspects of data literacy in teen’s lives. Proceedings of the Association for Information Science and Technology 54, 1 (2017), 27–35.

[26]

Virginia Braun, Victoria Clarke, Nikki Hayfield, and Gareth Terry. 2018. Thematic Analysis. In Handbook of research methods in health social sciences. Springer, 843–860.

[27]

Great Britain. 2018. Children and parents: Media use and attitudes report 2018. Ofcom.

[28]

Interactive Advertising Bureau. 2015. IAB Internet Advertising Revenue Report: 2015 Full Year Results.

[29]

Yolanda Linda Reid Chassiakos, Jenny Radesky, Dimitri Christakis, Megan A Moreno, Corinn Cross, 2016. Children and adolescents and digital media. Pediatrics 138, 5 (2016), e20162593.

[30]

Saksham Chitkara, Nishad Gothoskar, Suhas Harish, Jason I Hong, and Yuvraj Agarwal. 2017. Does this app really need my location?: Context-aware privacy management for smartphones. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 3 (2017), 42.

Digital Library

[31]

Brian Clifton. 2020. Why is Google Analytics free?https://brianclifton.com/blog/2007/07/23/why-is-google-analytics-unique-free/

[32]

Jacob Cohen. 1960. A coefficient of agreement for nominal scales. Educational and psychological measurement 20, 1 (1960), 37–46.

[33]

Sean Coughlan. 2018. ‘Sharenting’puts young at risk of online fraud. BBC News 21(2018).

[34]

Lia Emanuel and Danaë Stanton Fraser. 2014. Exploring physical and digital identity with a teenage cohort. In Proceedings of the 2014 conference on Interaction design and children. 67–76.

Digital Library

[35]

ENISA. 2018. Privacy and data protection in mobile applications: A study on the app development ecosystem and the technical implementation of GDPR.

[36]

Douglas A Gentile, Sarah Coyne, and David A Walsh. 2011. Media violence, physical aggression, and relational aggression in school age children: a short-term longitudinal study. Aggressive behavior 37, 2 (2011), 193–206.

[37]

Michael C Grace, Wu Zhou, Xuxian Jiang, and Ahmad-Reza Sadeghi. 2012. Unsafe exposure analysis of mobile in-app advertisements. In Proceedings of the fifth ACM conference on Security and Privacy in Wireless and Mobile Networks. ACM, 101–112.

Digital Library

[38]

Catherine Han, Irwin Reyes, Amit Elazari Bar On, Joel Reardon, Álvaro Feal, Serge Egelman, and Narseo Vallina-Rodriguez. 2019. Do you get what you pay for? Comparing the privacy behaviors of free vs. paid apps. (2019).

[39]

Alexis Hiniker, Kiley Sobel, and Bongshin Lee. 2017. Co-designing with preschoolers using fictional inquiry and comicboarding. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 5767–5772.

Digital Library

[40]

Apple Inc.[n.d.]. App Store Review Guidelines. https://developer.apple.com/app-store/review/guidelines/

[41]

Beeban Kidron, Alexandra Evans, Jenny Afia, Joanna R Adler, Henrietta Bowden-Jones, Liam Hackett, Anisha Juj, Andrew K Przybylski, Anghrarad Rudkin, and Young Scot. 2018. Disrupted childhood: the cost of persuasive design. (2018).

[42]

N Kobie. 2016. Surveillance state: Fingerprinting pupils raises safety and privacy concerns. The Guardian (2016).

[43]

Priya Kumar, Shalmali Milind Naik, Utkarsha Ramesh Devkar, Marshini Chetty, Tamara L Clegg, and Jessica Vitak. 2017. ’No Telling Passcodes Out Because They’re Private’: Understanding Children’s Mental Models of Privacy and Security Online. Proceedings of the ACM on Human-Computer Interaction 1, CSCW(2017), 64.

Digital Library

[44]

Priya Kumar, Jessica Vitak, Marshini Chetty, Tamara L Clegg, Jonathan Yang, Brenna McNally, and Elizabeth Bonsignore. 2018. Co-designing online privacy-related games and stories with children. In Proceedings of the 17th ACM Conference on Interaction Design and Children. ACM, 67–79.

Digital Library

[45]

Gry Hasselbalch Lapenta and Rikke Frank Jørgensen. 2015. Youth, privacy and online media: Framing the right to privacy in public policy-making. First Monday (2015).

[46]

Ilias Leontiadis, Christos Efstratiou, Marco Picone, and Cecilia Mascolo. 2012. Don’t kill my ads!: balancing privacy in an ad-supported mobile application market. In Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications. ACM, 2.

Digital Library

[47]

Ilaria Liccardi, Monica Bulger, Hal Abelson, Daniel J Weitzner, and Wendy Mackay. 2014. Can apps play by the COPPA Rules?. In 2014 Twelfth Annual International Conference on Privacy, Security and Trust. IEEE, 1–9.

[48]

Wayne C Lim. 1994. Effects of reuse on quality, productivity, and economics. IEEE software 11, 5 (1994), 23–30.

Digital Library

[49]

Jialiu Lin. 2013. Understanding and capturing people’s mobile app privacy preferences. Technical Report. CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE.

[50]

Mario Linares-Vásquez, Andrew Holtzhauer, Carlos Bernal-Cárdenas, and Denys Poshyvanyk. 2014. Revisiting android reuse studies in the context of code obfuscation and library usages. In Proceedings of the 11th Working Conference on Mining Software Repositories. 242–251.

Digital Library

[51]

Sonia Livingstone, John Carr, and Jasmina Byrne. 2016. One in three: Internet governance and children’s rights. (2016).

[52]

Sonia Livingstone, Julia Davidson, Joanne Bryce, Saqba Batool, Ciaran Haughton, and Anulekha Nandi. 2017. Children’s online activities, risks and safety: a literature review by the UKCCIS evidence group. (2017).

[53]

A Longfield. 2018. Who knows what about me.

[54]

Deborah Lupton and Ben Williamson. 2017. The datafied child: The dataveillance of children and implications for their rights. New Media & Society 19, 5 (2017), 780–794.

[55]

Abraham H Mhaidli, Yixin Zou, and Florian Schaub. 2019. ” We can’t live without them!” app developers’ adoption of ad networks and their considerations of consumer risks. In Fifteenth Symposium on Usable Privacy and Security ({SOUPS} 2019).

[56]

Anca Micheti, Jacquelyn Burkell, and Valerie Steeves. 2010. Fixing broken doors: Strategies for drafting privacy policies young people can understand. Bulletin of Science, Technology & Society 30, 2 (2010), 130–143.

[57]

Kathryn C Montgomery. 2015. Youth and surveillance in the Facebook era: Policy interventions and social implications. Telecommunications Policy 39, 9 (2015), 771–786.

Digital Library

[58]

Kathryn C Montgomery, Jeff Chester, and Tijana Milosevic. 2017. Children’s privacy in the big data era: Research opportunities. Pediatrics 140, Supplement 2 (2017), S117–S121.

[59]

Maurizio Morisio, Daniele Romano, and Ioannis Stamelos. 2002. Quality, productivity, and learning in framework-based development: An exploratory case study. IEEE Transactions on Software Engineering 28, 9 (2002), 876–888.

Digital Library

[60]

Maria Murumaa-Mengel. 2015. Drawing the threat: a study on perceptions of the online pervert among Estonian high school students. Young 23, 1 (2015), 1–18.

[61]

Casey Newton. 2020. Apple’s move to make advertising harder on iOS 14 is part of a trend. https://www.theverge.com/interface/2020/8/27/21402744/apple-idfa-facebook-fight-ads-advertising

[62]

Marije Nouwen, Maarten Van Mechelen, and Bieke Zaman. 2015. A value sensitive design approach to parental software for young children. In Proceedings of the 14th International Conference on Interaction Design and Children. 363–366.

Digital Library

[63]

Carly Nyst, Amaya Gorostiaga, and Patrick Geary. 2018. Children’s Online Privacy & Freedom of Expression: Industry Toolkit. https://www.unicef.org/csr/ict_tools.html

[64]

Jonathan A Obar and Anne Oeldorf-Hirsch. 2020. The biggest lie on the internet: Ignoring the privacy policies and terms of service policies of social networking services. Information, Communication & Society 23, 1 (2020), 128–147.

[65]

Ofcom.2018. Children and Parents: Media Use and Attitudes.

[66]

Luci Pangrazio and Neil Selwyn. 2018. “It’s Not Like It’s Life or Death or Whatever”: Young People’s Understandings of Social Media Data. Social Media+ Society 4, 3 (2018), 2056305118787808.

[67]

Abbas Razaghpanah, Rishab Nithyanand, Narseo Vallina-Rodriguez, Srikanth Sundaresan, Mark Allman, Christian Kreibich, and Phillipa Gill. 2018. Apps, trackers, privacy, and regulators: A global study of the mobile tracking ecosystem. (2018).

[68]

Irwin Reyes, Primal Wijesekera, Joel Reardon, Amit Elazari Bar On, Abbas Razaghpanah, Narseo Vallina-Rodriguez, and Serge Egelman. 2018. “Won’t Somebody Think of the Children?” Examining COPPA Compliance at Scale. Proceedings on Privacy Enhancing Technologies 2018, 3(2018), 63–83.

[69]

Suranga Seneviratne, Harini Kolamunna, and Aruna Seneviratne. 2015. A measurement study of tracking in paid mobile applications. In Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks. 1–6.

Digital Library

[70]

Wonsun Shin and Hyunjin Kang. 2016. Adolescents’ privacy concerns and information disclosure online: The role of parents and the Internet. Computers in Human Behavior 54 (2016), 114–123.

Digital Library

[71]

Stephan Sigg, Eemil Lagerspetz, Ella Peltonen, Petteri Nurmi, and Sasu Tarkoma. 2019. Exploiting usage to predict instantaneous app popularity: Trend filters and retention rates. ACM Transactions on the Web (TWEB) 13, 2 (2019), 1–25.

Digital Library

[72]

Aric Sigman. 2012. Time for a view on screen time. Archives of disease in childhood 97, 11 (2012), 935–942.

[73]

Justin Smith, Brittany Johnson, Emerson Murphy-Hill, Bill Chu, and Heather Richter Lipford. 2015. Questions developers ask while diagnosing potential security vulnerabilities with static analysis. In Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering. ACM, 248–259.

Digital Library

[74]

Gaurav Srivastava, Kunal Bhuwalka, Swarup Kumar Sahoo, Saksham Chitkara, Kevin Ku, Matt Fredrikson, Jason Hong, and Yuvraj Agarwal. 2017. PrivacyProxy: Leveraging Crowdsourcing and In Situ Traffic Analysis to Detect and Mitigate Information Leakage. arXiv preprint arXiv:1708.06384(2017).

[75]

Max Van Kleek, Ilaria Liccardi, Reuben Binns, Jun Zhao, Daniel J Weitzner, and Nigel Shadbolt. 2017. Better the devil you know: Exposing the data sharing practices of smartphone apps. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 5208–5220.

Digital Library

[76]

Jacqueline Ryan Vickery. 2015. ‘I don’t have anything to hide, but…’: the challenges and negotiations of social and mobile media privacy for non-dominant youth. Information, Communication & Society 18, 3 (2015), 281–294.

[77]

Haoyu Wang, Yao Guo, Ziang Ma, and Xiangqun Chen. 2015. Wukong: A scalable and accurate two-phase approach to android app clone detection. In Proceedings of the 2015 International Symposium on Software Testing and Analysis. 71–82.

Digital Library

[78]

Barbara J Wilson. 2008. Media and children’s aggression, fear, and altruism. The future of children(2008), 87–118.

[79]

Pamela Wisniewski, Arup Kumar Ghosh, Heng Xu, Mary Beth Rosson, and John M Carroll. 2017. Parental Control vs. Teen Self-Regulation: Is there a middle ground for mobile online safety?. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. ACM, 51–69.

Digital Library

[80]

Jing Xie, Bill Chu, Heather Richter Lipford, and John T Melton. 2011. ASIDE: IDE support for web application security. In Proceedings of the 27th Annual Computer Security Applications Conference. ACM, 267–276.

Digital Library

[81]

Jun Zhao, Ge Wang, Carys Dally, Petr Slovak, Julian Edbrooke-Childs, Max Van Kleek, and Nigel Shadbolt. 2019. I make up a silly name’: Understanding Children’s Perception of Privacy Risks Online. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, 106.

Digital Library

Cited By

Herdel VSćepanović SBogucka EQuercia DDas SGreen BVarshney KGanapini MRenda A(2024)ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI TechnologiesProceedings of the 2024 AAAI/ACM Conference on AI, Ethics, and Society10.5555/3716662.3716711(584-596)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.5555/3716662.3716711
Prybylo MHaghighi SPeddinti SGhanavati SKelley PKapadia A(2024)Evaluating privacy perceptions, experience, and behavior of software development teamsProceedings of the Twentieth USENIX Conference on Usable Privacy and Security10.5555/3696899.3696905(101-120)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.5555/3696899.3696905
Figueira OTrimananda RMarkopoulou AJordan SVallina-Rodríguez NSuarez-Tángil GLevin DPelsser C(2024)DiffAudit: Auditing Privacy Practices of Online Services for Children and AdolescentsProceedings of the 2024 ACM on Internet Measurement Conference10.1145/3646547.3688416(488-504)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3646547.3688416
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“Money makes the world go around”: Identifying Barriers to Better Privacy in Children’s Apps From Developers’ Perspectives

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
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Katherine Isbister
University of California Santa Cruz, USA
,
Takeo Igarashi
The University of Tokyo, Japan
,
Publications Chairs:
Pernille Bjørn
University of Copenhagen, Denmark
,
Steven Drucker
Microsoft Research, USA

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RETCON: Red Teaming the Internet Connected Internet of Things, under PETRAS 2 (EPSRC)
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Cited By

Herdel VSćepanović SBogucka EQuercia DDas SGreen BVarshney KGanapini MRenda A(2024)ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI TechnologiesProceedings of the 2024 AAAI/ACM Conference on AI, Ethics, and Society10.5555/3716662.3716711(584-596)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.5555/3716662.3716711
Prybylo MHaghighi SPeddinti SGhanavati SKelley PKapadia A(2024)Evaluating privacy perceptions, experience, and behavior of software development teamsProceedings of the Twentieth USENIX Conference on Usable Privacy and Security10.5555/3696899.3696905(101-120)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.5555/3696899.3696905
Figueira OTrimananda RMarkopoulou AJordan SVallina-Rodríguez NSuarez-Tángil GLevin DPelsser C(2024)DiffAudit: Auditing Privacy Practices of Online Services for Children and AdolescentsProceedings of the 2024 ACM on Internet Measurement Conference10.1145/3646547.3688416(488-504)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3646547.3688416
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Cao JB ADas AEmami-Naeini P(2024)Understanding Parents’ Perceptions and Practices Toward Children’s Security and Privacy in Virtual Reality2024 IEEE Symposium on Security and Privacy (SP)10.1109/SP54263.2024.00222(1554-1572)Online publication date: 19-May-2024
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C PGhandiparsi RSlavin RGhanavati SBreaux THosseini M(2024)Toward Regulatory Compliance: A few-shot Learning Approach to Extract Processing Activities2024 IEEE 32nd International Requirements Engineering Conference Workshops (REW)10.1109/REW61692.2024.00038(241-250)Online publication date: 24-Jun-2024
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Wang GZhao JVan Kleek MShadbolt N(2024)Challenges and opportunities in translating ethical AI principles into practice for childrenNature Machine Intelligence10.1038/s42256-024-00805-x6:3(265-270)Online publication date: 20-Mar-2024
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