“Won’t Somebody Think of the Children?” Examining COPPA Compliance at Scale

Author:

Reyes Irwin1,Wijesekera Primal2,Reardon Joel3,On Amit Elazari Bar4,Razaghpanah Abbas5,Vallina-Rodriguez Narseo6,Egelman Serge7

Affiliation:

1. International Computer Science Institute, California , USA

2. University of British Columbia, Vancouver , BC, Canada

3. University of Calgary, Calgary , Canada

4. University of California, Berkeley , USA

5. Stony Brook University, Stony Brook, New York , USA

6. IMDEA Networks and International Computer Science Institute, Berkeley , CA, USA

7. of California, Berkeley and International Computer Science Institute, Berkeley , USA

Abstract

Abstract We present a scalable dynamic analysis framework that allows for the automatic evaluation of the privacy behaviors of Android apps. We use our system to analyze mobile apps’ compliance with the Children’s Online Privacy Protection Act (COPPA), one of the few stringent privacy laws in the U.S. Based on our automated analysis of 5,855 of the most popular free children’s apps, we found that a majority are potentially in violation of COPPA, mainly due to their use of thirdparty SDKs. While many of these SDKs offer configuration options to respect COPPA by disabling tracking and behavioral advertising, our data suggest that a majority of apps either do not make use of these options or incorrectly propagate them across mediation SDKs. Worse, we observed that 19% of children’s apps collect identifiers or other personally identifiable information (PII) via SDKs whose terms of service outright prohibit their use in child-directed apps. Finally, we show that efforts by Google to limit tracking through the use of a resettable advertising ID have had little success: of the 3,454 apps that share the resettable ID with advertisers, 66% transmit other, non-resettable, persistent identifiers as well, negating any intended privacy-preserving properties of the advertising ID.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

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1. Labeling in the Dark: Exploring Content Creators’ and Consumers’ Experiences with Content Classification for Child Safety on YouTube;Designing Interactive Systems Conference;2024-07

2. Targeted and Troublesome: Tracking and Advertising on Children’s Websites;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

3. Measuring Compliance with the California Consumer Privacy Act Over Space and Time;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. CHAITok: A Proof-of-Concept System Supporting Children's Sense of Data Autonomy on Social Media;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

5. KOALA Hero Toolkit: A New Approach to Inform Families of Mobile Datafication Risks;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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