IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/wjr5z.html
   My bibliography  Save this paper

Public Comment for FTC's Commercial Surveillance ANPR

Author

Listed:
  • Sivan-Sevilla, Ido

    (University of Maryland)

  • Nissenbaum, Helen
  • Parham, Patrick T.

Abstract

These comments, respectfully submitted in response to the Federal Trade Commission’s (FTC) advanced notice of proposed rulemaking (ANPR) on the prevalence of commercial surveillance and data security practices that harm consumers, are based on selected research findings – our own and others. They are organized into four Parts. Part I drives a stake through the heart of direct-to-consumer consent-based approaches, arguing that notice and consent, transparency and choice, and privacy policies are not only ineffective; they may constitute “unfair and deceptive” practices. Part II addresses questions about data minimization, purpose limitations and sectoral approaches, vulnerable populations, and costs and benefits by drawing on the theory of privacy as contextual integrity (CI) (Nissenbaum, 2009). Part III discusses questions on the role of third party intermediaries in the enforcement process and facilitation of new disclosure rules, mechanisms to require/incentivize companies to be forthcoming about their data practices, and the role of civil rights agencies. Part IV suggests an adaptive regulatory model for the FTC through three regulatory learning cycles that can help the Commission account for changes in business models of surveillance-based industries.

Suggested Citation

  • Sivan-Sevilla, Ido & Nissenbaum, Helen & Parham, Patrick T., 2022. "Public Comment for FTC's Commercial Surveillance ANPR," OSF Preprints wjr5z, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:wjr5z
    DOI: 10.31219/osf.io/wjr5z
    as

    Download full text from publisher

    File URL: https://osf.io/download/63800cd06b17640f2994f789/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/wjr5z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:wjr5z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.