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
Michael Beier and
Katrin Schillo
Chapter 13 in Handbook of Social Computing, 2024, pp 249-263 from Edward Elgar Publishing
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.
Keywords: Business and Management; Innovations and Technology; Sociology and Social Policy (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781803921259.00022 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:21469_13
Ordering information: This item can be ordered from
http://www.e-elgar.com
Access Statistics for this chapter
More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().