Dark Patterns in the Opt-Out Process and Compliance with the California Consumer Privacy Act (CCPA)

  • Van Hong Tran
  • , Aarushi Mehrotra
  • , Ranya Sharma
  • , Marshini Chetty
  • , Nick Feamster
  • , Jens Frankenreiter
  • , Lior Strahilevitz

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    To protect consumer privacy, the California Consumer Privacy Act (CCPA) requires businesses to provide consumers with a straightforward way to opt out of the sale and sharing of their personal information. However, the control that businesses enjoy over the opt-out process allows them to impose hurdles on consumers aiming to opt out, including by employing dark patterns. Motivated by the enactment of the California Privacy Rights Act (CPRA), which strengthens the CCPA and explicitly forbids certain dark patterns in the opt-out process, we investigate how dark patterns are used in opt-out processes and assess their compliance with CCPA regulations. Our research on 330 CCPA-subject websites reveals that these websites employ a variety of dark patterns. Some of these patterns are explicitly prohibited under the CCPA; others seem to take advantage of legal loopholes.

    Original languageEnglish
    Title of host publicationCHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
    PublisherAssociation for Computing Machinery
    ISBN (Electronic)9798400713941
    DOIs
    StatePublished - Apr 26 2025
    Event2025 CHI Conference on Human Factors in Computing Systems, CHI 2025 - Yokohama, Japan
    Duration: Apr 26 2025May 1 2025

    Publication series

    NameConference on Human Factors in Computing Systems - Proceedings

    Conference

    Conference2025 CHI Conference on Human Factors in Computing Systems, CHI 2025
    Country/TerritoryJapan
    CityYokohama
    Period04/26/2505/1/25

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