People value their privacy but often lack the time to read privacy policies. This issue is exacerbated in the context of mobile apps, given the variety of data they collect and limited screen space for disclosures. Privacy nutrition labels have been proposed to convey data practices to users succinctly, obviating the need for them to read a full privacy policy. In fall 2020, Apple introduced privacy labels for mobile apps, but research has shown that these labels are ineffective, partly due to their complexity, confusing terminology, and suboptimal information structure. We propose a new design for mobile app privacy labels that addresses information layout challenges by representing data collection and use in a color-coded, expandable grid format. We conducted a between-subjects user study with 200 Prolific participants to compare user performance when viewing our new label against the current iOS label. Our findings suggest that our design significantly improves users' ability to answer key privacy questions and reduces the time required for them to do so.
more »
« less
Data Safety vs. App Privacy: Comparing the Usability of Android and iOS Privacy Labels
Privacy labels---standardized, compact representations of data collection and data use practices---are often presented as a solution to the shortcomings of privacy policies. Apple introduced mandatory privacy labels for apps in its App Store in December 2020; Google introduced mandatory labels for Android apps in July 2022. iOS app privacy labels have been evaluated and critiqued in prior work. In this work, we evaluated Android Data Safety Labels and explored how differences between the two label designs impact user comprehension and label utility. We conducted a between-subjects, semi-structured interview study with 12 Android users and 12 iOS users. While some users found Android Data Safety Labels informative and helpful, other users found them too vague. Compared to iOS App Privacy Labels, Android users found the distinction between data collection groups more intuitive and found explicit inclusion of omitted data collection groups more salient. However, some users expressed skepticism regarding elided information about collected data type categories. Most users missed critical information due to not expanding the accordion interface, and they were surprised by collection practices excluded from Android's definitions. Our findings also revealed that Android users generally appreciated information about security practices included in the labels, and iOS users wanted that information added.
more »
« less
- Award ID(s):
- 2150217
- PAR ID:
- 10574912
- Publisher / Repository:
- Proceedings on Privacy Enhancing Technologies
- Date Published:
- Journal Name:
- Proceedings on Privacy Enhancing Technologies
- Volume:
- 2024
- Issue:
- 2
- ISSN:
- 2299-0984
- Page Range / eLocation ID:
- 182 to 210
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
People value their privacy but often lack the time to read privacy policies. This issue is exacerbated in the context of mobile apps, given the variety of data they collect and limited screen space for disclosures. Privacy nutrition labels have been proposed to convey data practices to users succinctly, obviating the need for them to read a full privacy policy. In fall 2020, Apple introduced privacy labels for mobile apps, but research has shown that these labels are ineffective, partly due to their complexity, confusing terminology, and suboptimal in- formation structure. We propose a new design for mobile app privacy labels that addresses information layout challenges by representing data collection and use in a color-coded, expand- able grid format. We conducted a between-subjects user study with 200 Prolific participants to compare user performance when viewing our new label against the current iOS label. Our findings suggest that our design significantly improves users’ ability to answer key privacy questions and reduces the time required for them to do so.more » « less
-
Apple introduced privacy labels in Dec. 2020 as a way for developers to report the privacy behaviors of their apps. While Apple does not validate labels, they also require developers to provide a privacy policy, which offers an important comparison point. In this paper, we fine-tuned BERT-based language models to extract privacy policy features for 474,669 apps on the iOS App Store, comparing the output to the privacy labels. We identify discrepancies between the policies and the labels, particularly as they relate to data collected linked to users. We find that 228K apps' privacy policies may indicate data collection linked to users than what is reported in the privacy labels. More alarming, a large number (97%) of the apps with a Data Not Collected privacy label have a privacy policy indicating otherwise. We provide insights into potential sources for discrepancies, including the use of templates and confusion around Apple's definitions and requirements. These results suggest that significant work is still needed to help developers more accurately label their apps. Our system can be incorporated as a first-order check to inform developers when privacy labels are possibly misapplied.more » « less
-
Inspired by earlier academic research, iOS app privacy labels and the recent Google Play data safety labels have been introduced as a way to systematically present users with concise summaries of an app’s data practices. Yet, little research has been conducted to determine how well today’s mobile app privacy labels address people’s actual privacy concerns or questions. We analyze a crowd-sourced corpus of privacy questions collected from mobile app users to determine to what extent these mobile app labels actually address users’ privacy concerns and questions. While there are differences between iOS labels and Google Play labels, our results indicate that an important percentage of people’s privacy questions are not answered or only partially addressed in today’s labels. Findings from this work not only shed light on the additional fields that would need to be included in mobile app privacy labels but can also help inform refinements to existing labels to better address users’ typical privacy questions.more » « less
-
Apple announced the introduction of app privacy details to their App Store in December 2020, marking the frst ever real-world, large-scale deployment of the privacy nutrition label concept, which had been introduced by researchers over a decade earlier. The Apple labels are created by app developers, who self-report their app’s data practices. In this paper, we present the frst study examining the usability and understandability of Apple’s privacy nutrition label creation process from the developer’s perspective. By observing and interviewing 12 iOS app developers about how they created the privacy label for a real-world app that they developed, we identified common challenges for correctly and efciently creating privacy labels. We discuss design implications both for improving Apple’s privacy label design and for future deployment of other standardized privacy notices.more » « less