arXiv
Open Access
2020
Data Trading with a Monopoly Social Network: Outcomes are Mostly Privacy Welfare Damaging
Ranjan Pal
Junhui Li
Yixuan Wang
Mingyan Liu
Swades De
+1 lainnya
Abstrak
This paper argues that data of strategic individuals with heterogeneous privacy valuations in a distributed online social network (e.g., Facebook) will be under-priced, if traded in a monopoly buyer setting, and will lead to diminishing utilitarian welfare. This result, for a certain family of online community data trading problems, is in stark contrast to a popular information economics intuition that increased amounts of end-user data signals in a data market improves its efficiency. Our proposed theory paves the way for a future (counter-intuitive) analysis of data trading oligopoly markets for online social networks (OSNs).
Topik & Kata Kunci
Penulis (6)
R
Ranjan Pal
J
Junhui Li
Y
Yixuan Wang
M
Mingyan Liu
S
Swades De
J
Jon Crowcroft
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2020
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓