Full metadata
Title
Privacy Valuation Experiment
Description
This survey takes information on a participant’s beliefs on privacy security, the general digital knowledge, demographics, and willingness-to-pay points on if they would delete information on their social media, to see how an information treatment affects those payment points. This information treatment is meant to make half of the participants think about the deeper ramifications of the information they reveal. The initial hypothesis is that this information will make people want to pay more to remove their information from the web, but the results find a surprising negative correlation with the treatment.
Date Created
2021-05
Contributors
- Deitrick, Noah Sumner (Author)
- Silverman, Daniel (Thesis director)
- Kuminoff, Nicolai (Committee member)
- School of Mathematical and Statistical Sciences (Contributor)
- Economics Program in CLAS (Contributor)
- Barrett, The Honors College (Contributor)
Resource Type
Extent
32 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2020-2021
Handle
https://hdl.handle.net/2286/R.I.63725
Level of coding
minimal
Cataloging Standards
System Created
- 2021-04-17 12:47:20
System Modified
- 2021-08-11 04:09:57
- 3 years 3 months ago
Additional Formats