Journal ArticleDOI
Privacy trading in the surveillance capitalism age viewpoints on 'privacy-preserving' societal value creation
Ranjan Pal,Jon Crowcroft +1 more
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TLDR
The idea of a regulated and radical privacy trading mechanism that preserves the heterogeneous privacy preservation constraints at certain compromise levels and satisfying commercial requirements of agencies that collect and trade client data for the purpose of behavioral advertising is showcased.Abstract:
In the modern era of the mobile apps (part of the era of surveillance capitalism, a famously coined term by Shoshana Zuboff), huge quantities of data about individuals and their activities offer a wave of opportunities for economic and societal value creation. However, the current personal data ecosystem is mostly de-regulated, fragmented, and inefficient. On one hand, end-users are often not able to control access (either technologically, by policy, or psychologically) to their personal data which results in issues related to privacy, personal data ownership, transparency, and value distribution. On the other hand, this puts the burden of managing and protecting user data on profit-driven apps and ad-driven entities (e.g., an ad-network) at a cost of trust and regulatory accountability. Data holders (e.g., apps) may hence take commercial advantage of the individuals' inability to fully anticipate the potential uses of their private information, with detrimental effects for social welfare. As steps to improve social welfare, we comment on the the existence and design of efficient consumer-data releasing ecosystems aimed at achieving a maximum social welfare state amongst competing data holders. In view of (a) the behavioral assumption that humans are 'compromising' beings, (b) privacy not being a well-boundaried good, and (c) the practical inevitability of inappropriate data leakage by data holders upstream in the supply-chain, we showcase the idea of a regulated and radical privacy trading mechanism that preserves the heterogeneous privacy preservation constraints (at an aggregate consumer, i.e., app, level) upto certain compromise levels, and at the same time satisfying commercial requirements of agencies (e.g., advertising organizations) that collect and trade client data for the purpose of behavioral advertising. More specifically, our idea merges supply function economics, introduced by Klemperer and Meyer, with differential privacy, that, together with their powerful theoretical properties, leads to a stable and efficient, i.e., a maximum social welfare, state, and that too in an algorithmically scalable manner. As part of future research, we also discuss interesting additional techno-economic challenges related to realizing effective privacy trading ecosystems.read more
Citations
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General data protection regulation
TL;DR: The conferencia "Les politiques d'Open Data / Open Acces: Implicacions a la recerca" orientada a investigadors i gestors de projectes europeus que va tenir lloc el 20 de setembre de 2018 a la Universitat Autonoma de Barcelona.
Posted Content
The Value of Personal Information: Evidence from Empirical Economic Studies
TL;DR: In this article, the authors review empirical papers from the last 10 years and find evidence that more disclosure is associated with higher valuations, and that the current research efforts can be extended to yield insights into the pricing of personal information, taking into account the actual value such information creates in legitimate business applications.
Journal ArticleDOI
Preference-Based Privacy Markets
Ranjan Pal,Jon Crowcroft,Yixuan Wang,Yong Li,Swades De,Sasu Tarkoma,Mingyan Liu,Bodhibrata Nag,Abhishek Kumar,Pan Hui +9 more
TL;DR: A design of regulated efficient/bounded inefficient economic mechanisms for oligopoly data trading markets using a novel preference function bidding approach on a simplified sellers-broker market is proposed.
Posted Content
Preference-Based Privacy Trading.
TL;DR: This paper proposes a design of regulated efficient/bounded inefficient economic mechanisms for oligopoly data trading markets using a novel preference function bidding approach on a simplified sellers-broker market and preserves the heterogeneous privacy preservation constraints.
Journal ArticleDOI
Privacy Risk is a Function of Information Type: Learnings for the Surveillance Capitalism Age
TL;DR: It is shown that at market equilibrium IP trading markets exhibiting strategic substitutes between buying firms pose lesser risks for IP in society, primarily because the ‘substitutes’ setting, in contrast to the “complements” setting, economically incentivizes appropriate consumer data distortion by the seller in addition to restricting the proportion of buyers to which it sells.
References
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Book
Parallel and Distributed Computation: Numerical Methods
TL;DR: This work discusses parallel and distributed architectures, complexity measures, and communication and synchronization issues, and it presents both Jacobi and Gauss-Seidel iterations, which serve as algorithms of reference for many of the computational approaches addressed later.
Book
The Algorithmic Foundations of Differential Privacy
Cynthia Dwork,Aaron Roth +1 more
TL;DR: The preponderance of this monograph is devoted to fundamental techniques for achieving differential privacy, and application of these techniques in creative combinations, using the query-release problem as an ongoing example.
Book
The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power
TL;DR: In this world of surveillance capitalism, profit depends not only on predicting but modifying our online behaviour as mentioned in this paper, which is the opposite of what we are concerned about in this paper, in this article.
Journal ArticleDOI
Supply function equilibria in oligopoly under uncertainty
Paul Klemperer,Margaret A. Meyer +1 more
TL;DR: In this paper, the authors model an oligopoly facing uncertain demand in which each firm chooses as its strategy a "supply function" relating its quantity to its price, and prove the existence of a Nash equilibrium in supply functions for a symmetric oligopoly producing a homogeneous good.
Journal ArticleDOI
A privacy paradox: Social networking in the United States
TL;DR: The uproar over privacy issues in social networks is discussed by describing a privacy paradox; private versus public space; and, social networking privacy issues.