Privacy labels provide an easy and recognizable overview of data collection practices adopted by mobile apps developers. Specifically, on the Apple App Store, privacy labels are displayed on each mobile app's page and summarize what data is collected by the app, how it is used, and for what purposes it is needed. Starting from the release of iOS version 14.3 developers are required to provide privacy labels for their applications. We conducted a large-scale empirical study, collecting and analyzing the privacy labels of 17, 312 apps published on the App Store, to understand and characterize how sensitive data is collected and shared. The results of our analysis highlight important criticalities about the collection and sharing of personal data for tracking purposes. In particular, on average free applications collect more sensitive data, the majority of data is collected in an unanonimyzed form, and a wide range of sensitive information are collected for tracking purposes. The analysis provides also evidence to support the decision-making of users, platform maintainers, and regulators. Furthermore, we repeated the data collection and analysis after seven months, following the introduction of additional run-time tracking controls by Apple. Comparing the two datasets, we observed that the newly introduced measures resulted in a statistically significant decrease in the number of apps that collect data for tracking purposes. At the same time, we observed a growth in overall data collection.

An empirical study of privacy labels on the Apple iOS mobile app store

Gian Luca Scoccia;Paola Inverardi
2022-01-01

Abstract

Privacy labels provide an easy and recognizable overview of data collection practices adopted by mobile apps developers. Specifically, on the Apple App Store, privacy labels are displayed on each mobile app's page and summarize what data is collected by the app, how it is used, and for what purposes it is needed. Starting from the release of iOS version 14.3 developers are required to provide privacy labels for their applications. We conducted a large-scale empirical study, collecting and analyzing the privacy labels of 17, 312 apps published on the App Store, to understand and characterize how sensitive data is collected and shared. The results of our analysis highlight important criticalities about the collection and sharing of personal data for tracking purposes. In particular, on average free applications collect more sensitive data, the majority of data is collected in an unanonimyzed form, and a wide range of sensitive information are collected for tracking purposes. The analysis provides also evidence to support the decision-making of users, platform maintainers, and regulators. Furthermore, we repeated the data collection and analysis after seven months, following the introduction of additional run-time tracking controls by Apple. Comparing the two datasets, we observed that the newly introduced measures resulted in a statistically significant decrease in the number of apps that collect data for tracking purposes. At the same time, we observed a growth in overall data collection.
2022
9781450393010
Software engineering, Data privacy, Privacy, Regulators, Decision making, Data collection, Mobile applications
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12571/30124
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