IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/21469_13.html
   My bibliography  Save this book chapter

Design, content and application of consent banners on plastic surgeon websites: derivation of a typology and discussion of possible implications for data analytics and AI applications

In: Handbook of Social Computing

Author

Listed:
  • Michael Beier
  • Katrin Schillo

Abstract

Nowadays, many websites use consent banners to ask their visitors for explicit consent to set cookies on their computers. However, we still know little about how consent banners are used in the healthcare sector. In this study, we empirically address the questions of how consent banners on plastic surgeon websites in Germany are designed and how they are applied. We derive a typology of application patterns and record their quantitative distributions on the plastic surgeon websites. Finally, we evaluate the results and consider possible implications that might arise from systematic biases based on differences in user responses to consent banners in general as well as to possible manipulations to increase opt-in rates in consent banners. Such new biases should be considered in data analytics and AI applications based on cookie data and corrected accordingly.

Suggested Citation

  • Michael Beier & Katrin Schillo, 2024. "Design, content and application of consent banners on plastic surgeon websites: derivation of a typology and discussion of possible implications for data analytics and AI applications," Chapters, in: Peter A. Gloor & Francesca Grippa & Andrea Fronzetti Colladon & Aleksandra Przegalinska (ed.), Handbook of Social Computing, chapter 13, pages 249-263, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:21469_13
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/doi/10.4337/9781803921259.00022
    Download Restriction: no
    ---><---

    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:elg:eechap:21469_13. 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: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.com .

    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.