Conference item
"Money makes the world go around": identifying barriers to better privacy in children’s apps from developers’ perspectives
- Abstract:
- The industry for children’s apps is thriving at the cost of children’s privacy: these apps routinely disclose children’s data to multiple data trackers and ad networks. As children spend increasing time online, such exposure accumulates to long-term privacy risks. In this paper, we used a mixed-methods approach to investigate why this is happening and how developers might change their practices. We base our analysis against 5 leading data protection frameworks that set out requirements and recommendations for data collection in children’s apps. To understand developers’ perspectives and constraints, we conducted 134 surveys and 20 semi-structured interviews with popular Android children’s app developers. Our analysis revealed that developers largely respect children’s best interests; however, they have to make compromises due to limited monetisation options, perceived harmlessness of certain third-party libraries, and lack of availability of design guidelines. We identified concrete approaches and directions for future research to help overcome these barriers.
- Publication status:
- Published
- Peer review status:
- Reviewed (other)
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, 528.7KB, Terms of use)
-
- Publisher copy:
- 10.1145/3411764.3445599
Authors
+ Engineering and Physical Sciences Research Council
More from this funder
- Grant:
- EP/R006784/1
- EP/R033633/1
- 2033180
- Publisher:
- Association for Computing Machinery
- Journal:
- Proceedings of the ACM Conference on Human Factors in Computing Systems More from this journal
- Issue:
- 2021
- Article number:
- 46
- Publication date:
- 2021-05-08
- Acceptance date:
- 2021-01-20
- Event title:
- 2021 ACM CHI Virtual Conference on Human Factors in Computing Systems
- Event location:
- Online
- Event website:
- https://chi2021.acm.org/
- Event start date:
- 2021-05-08
- Event end date:
- 2021-05-13
- DOI:
- ISBN:
- 9781450380966
- Language:
-
English
- Keywords:
- Pubs id:
-
1167228
- Local pid:
-
pubs:1167228
- Deposit date:
-
2021-03-12
Terms of use
- Copyright holder:
- Association for Computing Machinery
- Copyright date:
- 2021
- Rights statement:
- © 2021 Association for Computing Machinery
- Notes:
- This paper will be presented at the ACM Conference on Human Factors in Computing Systems (CHI 2021), 8th-13th May 2021. This is the accepted manuscript version of the article. The final version is available from Association for Computing Machinery at: https://doi.org/10.1145/3411764.3445599
If you are the owner of this record, you can report an update to it here: Report update to this record