Title | ||
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“Money makes the world go around”: Identifying Barriers to Better Privacy in Children’s Apps From Developers’ Perspectives |
Abstract | ||
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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. |
Year | DOI | Venue |
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2021 | 10.1145/3411764.3445599 | Conference on Human Factors in Computing Systems |
DocType | ISSN | Citations |
Conference | Proceedings of the 2021 ACM Conference on Human Factors in
Computing Systems | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Anirudh Ekambaranathan | 1 | 0 | 0.34 |
Jun Zhao | 2 | 869 | 87.96 |
Max Van Kleek | 3 | 542 | 58.95 |