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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 simultane...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3548606.3563549

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0001-6935-9028
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

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