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A Market for Unbiased Private Data: Paying Individuals According to their Privacy Attitudes [article]

Christina Aperjis, Bernardo A. Huberman
2012 arXiv   pre-print
individuals that participate according to their risk attitudes.  ...  Since there is, in principle, no reason why third parties should not pay individuals for the use of their data, we introduce a realistic market that would allow these payments to be made while taking into  ...  Notes 1 Such as Acxiom and Quantcast 2 We note that in the case of Facebook and other online services, users do obtain a benefit in return for their data, because they get free access to these services  ... 
arXiv:1205.0030v1 fatcat:sssuepbedze37puzzprl5uncwa

A market for unbiased private data: Paying individuals according to their privacy attitudes

Christina Aperjis, Bernardo A. Huberman
2012 First Monday  
individuals that participate according to their risk attitudes.  ...  Since there is, in principle, no reason why third parties should not pay individuals for the use of their data, we introduce a realistic market that would allow these payments to be made while taking into  ...  Notes 1 Such as Acxiom and Quantcast 2 We note that in the case of Facebook and other online services, users do obtain a benefit in return for their data, because they get free access to these services  ... 
doi:10.5210/fm.v17i5.4013 fatcat:h5kh2t57s5aadp4k2wwpdv3plm

A Market for Unbiased Private Data: Paying Individuals According to Their Privacy Attitudes

Christina Aperjis, Bernardo A. Huberman
2012 Social Science Research Network  
individuals that participate according to their risk attitudes.  ...  Since there is, in principle, no reason why third parties should not pay individuals for the use of their data, we introduce a realistic market that would allow these payments to be made while taking into  ...  Notes 1 Such as Acxiom and Quantcast 2 We note that in the case of Facebook and other online services, users do obtain a benefit in return for their data, because they get free access to these services  ... 
doi:10.2139/ssrn.2046861 fatcat:yxyyj3uburhfpo33qdm4y7vo7e

Pricing private data

Vasilis Gkatzelis, Christina Aperjis, Bernardo A. Huberman
2015 Electronic Markets  
We consider a market where buyers can access unbiased samples of private data by appropriately compensating the individuals to whom the data corresponds (the sellers) according to their privacy attitudes  ...  We show how bundling the buyers' demand can decrease the price that buyers have to pay per data point, while ensuring that sellers are willing to participate.  ...  These two extremes can be avoided by creating a market for private data through which buyers can pay individuals (sellers) in exchange for obtaining access to their private data.  ... 
doi:10.1007/s12525-015-0188-8 fatcat:azr5wcbexjebzixfme4kejea7e

Pricing Private Data

Vasilis Gkatzelis, Christina Aperjis, Bernardo A. Huberman
2012 Social Science Research Network  
We consider a market where buyers can access unbiased samples of private data by appropriately compensating the individuals to whom the data corresponds (the sellers) according to their privacy attitudes  ...  We show how bundling the buyers' demand can decrease the price that buyers have to pay per data point, while ensuring that sellers are willing to participate.  ...  These two extremes can be avoided by creating a market for private data through which buyers can pay individuals (sellers) in exchange for obtaining access to their private data.  ... 
doi:10.2139/ssrn.2146966 fatcat:ay7s5gmx5vdzrbk4kyh3erloqm

How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market [article]

Rachana Nget, Yang Cao, Masatoshi Yoshikawa
2018 arXiv   pre-print
Data owners who provide personal data are compensated according to their privacy loss. Data buyers can submit a query and pay for the result according to their desired accuracy.  ...  A personal data market is a platform including three participants: data owners (individuals), data buyers and market maker.  ...  Users may set ε i according to their privacy attitude with the assumption thatε i is public and is not correlated with the sensitivity of data.  ... 
arXiv:1705.02982v2 fatcat:kyk6zev5fvet5f5hxzcw25lxzy

Big Data: Ethical Debates [chapter]

2018 The Big Data Agenda: Data Ethics and Critical Data Studies  
The authors highlight that the common 'notice and choice' frameworks of online platforms and their data collection: '[…] effectively rationalize market withdrawal for the privacy-conscious individual (  ...  While individuals may be more willing to compromise on their privacy when it comes to security and public welfare/common good, this is often not their main motive for providing and producing personal data  ... 
doi:10.16997/book14.c fatcat:pteiarymvfc5rmpuop6p4lkspu

Data access, consumer interests and social welfare – An economic perspective on data [chapter]

Bertin Martens
2021 Data Access, Consumer Interests and Public Welfare  
widely according to type of data.  ...  Is this negative externality a market failure that requires regulatory intervention to be corrected? Individuals have no better alternative option to realise a higher value for their personal data.  ... 
doi:10.5771/9783748924999-69 fatcat:k4a7feidv5bp3kqc4ntcthgtyy

Prescription Data Mining and the Protection of Patients' Interests

David Orentlicher
2010 Journal of Law, Medicine & Ethics  
Acknowledgements I am grateful for the helpful comments of Jacqueline Lorenc, Robert Musacchio, Sandra Petronio, Amy Peak, and Mark Rothstein.  ...  Data mining companies pay pharmacies for the right to extract information about prescriptions, and pharmaceutical companies pay the mining companies for information about individual physicians' prescribing  ...  In that regard, physicians tend to report a healthy dose of skepticism when surveyed about their attitudes toward drug company marketing.  ... 
doi:10.1111/j.1748-720x.2010.00468.x pmid:20446986 fatcat:d3cza4qcnbcu5izsfvr73wsqke

On the Differential Private Data Market: Endogenous Evolution, Dynamic Pricing, and Incentive Compatibility [article]

Tao Zhang, Quanyan Zhu
2021 arXiv   pre-print
This work uses a mechanism design approach to study the optimal market model to economize the value of privacy of personal data, using differential privacy.  ...  Privacy is an essential issue in data trading markets.  ...  ACM, 2012. [48] Christina Aperjis and Bernardo A Huberman. A market for unbiased private data: Paying individuals according to their privacy attitudes.  ... 
arXiv:2101.04357v2 fatcat:womp4nuzwzfnhkqcl4o25gagxa

A Self-Controllable and Balanced Data Sharing Model

Xiangqian Dong, Bing Guo, Yan Shen, Xuliang Duan, Yuncheng Shen, Hong Zhang
2019 IEEE Access  
"Data sharing" is the process of interchanging data among multiple data sources in a controllable access manner.  ...  The analyses and experimental results show, comparing with the existing sharing systems, that our model is practical and can spur agents to participate actively in sharing data.  ...  In their setting, C asks a request and pays for them; the market maker answers C and compensates O, as the query may leak O's privacy.  ... 
doi:10.1109/access.2019.2931982 fatcat:a4ekgu7drbg33bwjeckjmmzk2q

Conclusion: What Next for Privacy Seals? [chapter]

Rowena Rodrigues
2018 Privacy and Data Protection Seals  
as a paying customer rather than as their inherent status as a data subject.  ...  for direct marketing purposes, the data subject shall have the right to object free of charge to the processing of their personal data for such marketing".  ...  allow only a limited number of opt outs before customer registration becomes mandatory. 51 Right to object free of charge to the processing of their personal data in cases of direct marketing (explicit  ... 
doi:10.1007/978-94-6265-228-6_9 fatcat:mpex6asr7bcwnmu7bazvkyblje

The Fair Price Privacy Act: Empowering Consumers to Regulate Data Sharing through a Micropay Audit Trail Maintained by Information Fiduciaries [article]

David Reardon
2022 Zenodo  
It establishes (a) nominal compensation that is owed to individuals each time their data is used, (b) a right to increase that compensation, and (c) requirements for companies collecting and disseminating  ...  This article proposes and discusses advantages of legislation granting ownership and financial rights to electronic data collected about individuals, such as marketing data.  ...  Huberman, A Market for Unbiased Private Data: Paying Individuals According to their Privacy Attitudes, 17 FIRST MONDAY 1-9 (2012), http://firstmonday.org/ojs/index.php/fm/article/view/4013/3209; Juan Pablo  ... 
doi:10.5281/zenodo.6354138 fatcat:653ktle6nnburkfq2672jgs3cq

Pricing Personal Data Based on Data Provenance

Yuncheng Shen, Bing Guo, Yan Shen, Fan Wu, Hong Zhang, Xuliang Duan, Xiangqian Dong
2019 Applied Sciences  
Our pricing model first sets prices for source tuples according to their importance and then makes query pricing based on data provenance, which considers both the importance of the data itself and the  ...  Then, how to price personal data reasonably becomes a problem we have to face.  ...  In [27] , Gkatzelis et al. discussed the privacy attitude, by which individuals were properly compensated and the private data of the data market could be sampled in an unbiased manner by the purchaser  ... 
doi:10.3390/app9163388 fatcat:5ujop2ek4bfdpkj4zo3ngy3zsy

Reining in the Big Promise of Big Data: Transparency, Inequality, and New Regulatory Frontiers

Philipp Hacker, Bilyana Petkova
2016 Social Science Research Network  
, this paper proposes a new regulatory framework and research agenda to put the powerful engine of Big Data to the benefit of both the individual and societies adhering to basic notions of equality and  ...  If it is true that a speeding ticket over $50 is less of a disutility for a millionaire than for a welfare recipient, the income-and wealth-responsive fines powered by Big Data that we suggest offer a  ...  To sum up, everyone pays at least the base fine; those for whom the f factor is larger than 1 pay a modified, higher fine to account for their greater wealth and/or income. 188 191 This is particularly  ... 
doi:10.2139/ssrn.2773527 fatcat:fbva7j7xwvey3b7r6mwmtldabq
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