Data Collection, Privacy, and Children in the Digital Economy

Author:

Arewa Olufunmilayo B.

Abstract

AbstractTechnologies today facilitate widespread dissemination of information, including visual images, and rapid communication to billions of people across the globe. Digital economy firms increasingly shape how we create, disseminate, and access data and information. Data-driven business models increasingly influence companies’ aggregation and use of their customers’ personal information. The collection and use of data have a particular impact on children. Access to information about children may pose both short-term and long-term threats. Children potentially have different and perhaps even greater risks than adults because their relationships with digital spaces may be mediated by family relationships and the activities of other people who may have the authority to disclose their data. A significant percentage of children’s identity theft comes from persons known to them, such as family members. As a result, regulation of children’s data implicates family relationships in ways that are potentially difficult and complex. Existing legal and regulatory approaches may focus on data privacy after it has been collected, with insufficient attention to the effectiveness of consent in light of widespread data technology business models, as well as to extensive data collection and aggregation. While this may harm both adults and children, it places a particular burden on children.

Publisher

Springer Fachmedien Wiesbaden

Reference46 articles.

1. 8 News NOW Las Vegas: Man scares, harasses 8-year old after hacking into ring camera in a child’s room, 8 News NOW Las Vegas, December 12, 2019, https://www.youtube.com/watch?v=CpfFF8dK2jM; last accessed April 21, 2021.

2. Ablon, Lillian: Data Thieves: The Motivations of Cyber Threat Actors and Their Use and Monetization of Stolen Data, Santa Monica/CA 2018, https://www.rand.org/pubs/testimonies/CT490.html; last accessed April 21, 2021.

3. Alphabet Inc.: Annual Report on Form 10-K for the fiscal year ended December 31, 2019, https://www.sec.gov/ix?doc=/Archives/edgar/data/1652044/000165204420000008/goog10-k2019.htm; last accessed April 21, 2021.

4. Apple Inc.: Data Privacy Day at Apple: Improving Transparency and Empowering Users, January 27, 2021, https://www.apple.com/newsroom/2021/01/data-privacy-day-at-apple-improving-transparency-and-empowering-users/; last accessed September 21, 2021.

5. Brown, Dalvin: Amazon’s Ring Fires Four Employees for Snooping on Customers’ Doorbell Camera Video Feeds, USA Today, January 10, 2020, https://www.usatoday.com/story/tech/2020/01/10/amazons-ring-fired-employees-snooping-customers-camera-feeds/4429399002/; last accessed April 21, 2021.

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