IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v44y2025i12p3097-3114.html
   My bibliography  Save this article

Privacy and political online microtargeting during the German Federal Election 2021

Author

Listed:
  • Johanna Börsting
  • Regine Frener
  • Sabine Trepte

Abstract

In the context of Federal Elections, political parties frequently engage in targeting social media users with tailored content. To facilitate this, personal data must be collected and processed, often without the users’ explicit awareness. Many users view political online microtargeting as an intrusion upon their privacy. In a longitudinal time-based sampling study shortly before, during, and after the German Federal Election in 2021, we surveyed social media users (N = 126) about their perception of political online microtargeting and individual privacy. In particular, we evaluated participants’ perception of being targeted, perceived social media affordances (anonymity, association), availability of privacy mechanisms (control, trust, norms, communication), and their subjective experience of privacy (experienced level of access, privacy perception). Furthermore, we evaluated how these variables influence users’ privacy regulation behaviours (interdependent or egocentric), political self-efficacy, future political information behaviour, and voting behaviour in the light of political online microtargeting. Multilevel analyses revealed that it is difficult for users to detect targeted ads, but that they feel more private and self-efficacious in their political and future political information behaviour if they believe they can rely on privacy mechanisms such as trust and control.

Suggested Citation

  • Johanna Börsting & Regine Frener & Sabine Trepte, 2025. "Privacy and political online microtargeting during the German Federal Election 2021," Behaviour and Information Technology, Taylor & Francis Journals, vol. 44(12), pages 3097-3114, July.
  • Handle: RePEc:taf:tbitxx:v:44:y:2025:i:12:p:3097-3114
    DOI: 10.1080/0144929X.2024.2431052
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2024.2431052
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2024.2431052?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    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:taf:tbitxx:v:44:y:2025:i:12:p:3097-3114. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    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.