IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-04495641.html

Facebook Shadow Profiles

Author

Listed:
  • Luis Aguiar

    (UZH - Universität Zürich [Zürich] = University of Zurich)

  • Christian Peukert

    (UNIL - Université de Lausanne = University of Lausanne)

  • Maximilian Schäfer

    (Yale University [New Haven], UNIBO - Alma Mater Studiorum Università di Bologna = University of Bologna)

  • Hannes Ullrich

    (DIW Berlin - Deutsches Institut für Wirtschaftsforschung, ITU - IT University of Copenhagen)

Abstract

We quantify Facebook's ability to build shadow profiles by tracking individuals across the web, irrespective of whether they are users of the social network. For a representative sample of US Internet users, we find that Facebook is able to track about 40 percent of the browsing time of both users and non-users of Facebook, including on privacy-sensitive domains and across user demographics. We show that the collected browsing data can produce accurate predictions of personal information that is valuable for advertisers, such as age or gender. Because Facebook users reveal their demographic information to the platform, and because the browsing behavior of users and non-users of Facebook overlaps, users impose a data externality on non-users by allowing Facebook to infer their personal information.

Suggested Citation

  • Luis Aguiar & Christian Peukert & Maximilian Schäfer & Hannes Ullrich, 2024. "Facebook Shadow Profiles," Working Papers hal-04495641, HAL.
  • Handle: RePEc:hal:wpaper:hal-04495641
    DOI: 10.48550/arXiv.2202.04131
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Maximilian Schaefer, 2025. "When Should we Expect Non-Decreasing Returns from Data in Prediction Tasks?," Papers 2503.03602, arXiv.org.
    3. Martin Kögler & Katharina Paulick & Jürgen Scheffran & Mario Birkholz, 2024. "Sustainable use of a smartphone and regulatory needs," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(6), pages 6182-6200, December.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • D18 - Microeconomics - - Household Behavior - - - Consumer Protection
    • L4 - Industrial Organization - - Antitrust Issues and Policies
    • L5 - Industrial Organization - - Regulation and Industrial Policy
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    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:hal:wpaper:hal-04495641. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.