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
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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

Format Sitasi

Pal, R., Li, J., Wang, Y., Liu, M., De, S., Crowcroft, J. (2020). Data Trading with a Monopoly Social Network: Outcomes are Mostly Privacy Welfare Damaging. https://arxiv.org/abs/2012.08729

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2020
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arXiv
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