Conference item
Poster: an analysis of privacy features in 'expert-approved' kids' apps
- Abstract:
- During the course of the past decade, children have become avid consumers of digital media through mobile devices. The industry for children's mobile applications is booming and marketplaces offer categories of apps aimed specifically at children. In this study, we perform a mixed-methods privacy analysis of 137 'expert-approved' children's apps from the Google Play Store. Our findings show that these apps do not sufficiently support children to exercise their privacy rights, whilst simultaneously making use of libraries and data trackers which may collect and share sensitive user data.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 2.0MB, Terms of use)
-
- Publisher copy:
- 10.1145/3548606.3563549
Authors
- Publisher:
- Association for Computing Machinery
- Host title:
- CCS '22: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
- Pages:
- 3343-3345
- Publication date:
- 2022-11-07
- Acceptance date:
- 2022-09-07
- Event title:
- ACM Conference on Computer and Communications Security 2022
- Event location:
- Los Angeles, USA
- Event website:
- https://www.sigsac.org/ccs/CCS2022/
- Event start date:
- 2022-11-07
- Event end date:
- 2022-11-11
- DOI:
- ISSN:
-
1543-7221
- ISBN:
- 9781450394505
- Language:
-
English
- Keywords:
- Pubs id:
-
1314219
- Local pid:
-
pubs:1314219
- Deposit date:
-
2023-02-14
Terms of use
- Copyright holder:
- Ekambaranathan et al.
- Copyright date:
- 2022
- Rights statement:
- © 2022 Copyright held by the owner/author(s).
- Notes:
- This is the accepted manuscript version of the paper. The final version is available online from the Association for Computing Machinery at: https://doi.org/10.1145/3548606.3563549
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