Abstract

This study analyzes the meanings and technical mechanisms of privacy that leading advertising technology (adtech) companies are deploying under the banner of “privacy-preserving” adtech. We analyze this discourse by examining documents wherein Meta, Google, and Apple each propose to provide advertising attribution services—which aim to measure and optimize advertising effectiveness—while “solving” some of the privacy problems associated with online ad attribution. We find that these solutions define privacy primarily as anonymity, as limiting access to individuals’ information, and as the prevention of third-party tracking. We critique these proposals by drawing on the theory of privacy as contextual integrity. Overall, we argue that these attribution solutions not only fail to achieve meaningful privacy but also leverage privacy rhetoric to advance commercial interests.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.