Privacy-Seeking Behavior in the Personal Data Market

2021 ◽  
Vol 2021 (1) ◽  
pp. 15514
Author(s):  
Joy Zhouyu Wu
Author(s):  
Fred Stutzman ◽  
Ralph Gross ◽  
Alessandro Acquisti

Over the past decade, social network sites have experienced dramatic growth in popularity, reaching most demographics and providing new opportunities for interaction and socialization. Through this growth, users have been challenged to manage novel privacy concerns and balance nuanced trade-offs between disclosing and withholding personal information. To date, however, no study has documented how privacy and disclosure evolved on social network sites over an extended period of time. In this manuscript we use profile data from a longitudinal panel of 5,076 Facebook users to understand how their privacy and disclosure behavior changed between 2005---the early days of the network---and 2011. Our analysis highlights three contrasting trends. First, over time Facebook users in our dataset exhibited increasingly privacy-seeking behavior, progressively decreasing the amount of personal data shared publicly with unconnected profiles in the same network. However, and second, changes implemented by Facebook near the end of the period of time under our observation arrested or in some cases inverted that trend. Third, the amount and scope of personal information that Facebook users revealed privately to other connected profiles actually increased over time---and because of that, so did disclosures to ``silent listeners'' on the network: Facebook itself, third-party apps, and (indirectly) advertisers. These findings highlight the tension between privacy choices as expressions of individual subjective preferences, and the role of the environment in shaping those choices.


Author(s):  
Olena Shandrivska

The world experience of the prerequisites for the formation of a consumer personal data market has been analyzed, in particular from the point of view of providing access to stakeholder groups interested in it. A conceptual scheme of the for-mation of a market for personal data has been introduced. A quantitative and qualitative analysis of indicators that identify the conditions of the personal data market has been carried out. The following indicators has been included in the work: economically active population, Internet home subscribers, Internet connectivity rates, available income per capita, and recorded cybercrimes. The basics of streamlining public information relations in terms of personal data protection based on the formation of a unified system of personal data protection has been formulated, methods for minimizing the risks of leak-age of consumers personal data has been developed.


2021 ◽  
Vol 7 (1) ◽  
pp. 92-106
Author(s):  
Dorin Cimil ◽  
◽  
Olesea Plotnic ◽  

The issue under investigation concerns whether personal data or personal information from the point of view of intellectual property constitutes as such a commodity or economic potential, which may be subject to alienation and registration as an object protected by the intellectual property system or represent a non-commercial object, without circulation in civil relations, with a special legal regime, connected to the fundamental human rights and freedoms. Recognition of personal data and other categories of information, related to the person (geolocation data, user-generated content) in terms of intellectual property rights as objects of civil rights, would allow the development of the data market, necessary for the functioning of innovative technologies on big data, cognitive calculations, the Internet of goods, and bringing these technologies into a legal and civilized field. The objective of the article is to appreciate whether personal data is subject to any intellectual property rights by the assessment of EU jurisprudence in line with national legal framework of the Republic of Moldova.


Author(s):  
Koldyshev Maxim Vladimirovich

The technological phenomenon of artificial intelligence transforms B2B marketing and approaches to the formation of product value, sales and service. The case study allowed the author to examine and summarize the experience of large companies in integrating artificial intelligence into the sales management system, marketing and service. The article identified three problems of B2B companies’ sales system: incomplete, unreliable data, lack of interaction between marketing and sales systems, dynamic growth of personal data volume. The study proves economic efficiency of the integration of artificial intelligence, which solves these problems. The future of marketing was identified based on the latest trends in the B2B segment. In the future, industrial marketing will be determined by the accuracy, reliability of customer information, a high level of accuracy of demand forecasts, a shortened cycle of trade agreements, increasing level of effectiveness of cooperation between marketing and sales departments. The integration of artificial intelligence into sales management will finally complete the era of digital marketing in the B2B segment and will be the beginning of the era of “human” marketing. The latter will mean that in the context of a regulated digital private B2B data market, marketing will be focused on human needs with an accurate predictable understanding of customer needs.


Author(s):  
Emile Douilhet ◽  
Argyro P. Karanasiou

Big Data is a relatively recent phenomenon, but has already shown its potential to drastically alter the relationship between businesses, individuals, and governments. Many organisations now control vast amounts of raw data, and those industry players with the resources to mine that data to create new information have a significant advantage in the big data market. The aim of this chapter is to identify the legal grounds for the ownership of big data: who legally owns the petabytes and exabytes of information created daily? Does this belong to the users, the data analysts, or to the data brokers and various infomediaries? The chapter presents a succinct overview of the legal ownership of big data by examining the key players in control of the information at each stage of processing of big data. It then moves on to describe the current legislative framework with regard to data protection and concludes in additional techno-legal solutions offered to complement the law of big data in this respect.


Information ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 123 ◽  
Author(s):  
Jian Yang ◽  
Chunxiao Xing

In the era of the digital economy, data has become a new key production factor, and personal data represents the monetary value of a data-driven economy. Both the public and private sectors want to use these data for research and business. However, due to privacy issues, access to such data is limited. Given the business opportunities that have gaps between demand and supply, we consider establishing a private data market to resolve supply and demand conflicts. While there are many challenges to building such a data market, we only focus on three technical challenges: (1) How to provide a fair trading mechanism between data providers and data platforms? (2) What is the consumer’s attitude toward privacy data? (3) How to price personal data to maximize the profit of the data platform? In this paper, we first propose a compensation mechanism based on the privacy attitude of the data provider. Second, we analyze consumer self-selection behavior and establish a non-linear model to represent consumers’ willingness to pay (WTP). Finally, we establish a bi-level programming model and use genetic simulated annealing algorithm to solve the optimal pricing problem of personal data. The experimental results show that multi-level privacy division can meet the needs of consumers and maximize the profit of data platform.


2020 ◽  
Vol 24 (4) ◽  
pp. 1005-1023
Author(s):  
Olga S. Magomedova ◽  
Alexandra A. Koval ◽  
Antonina D. Levashenko

The development of the digital economy and new technologies raises the question whether it is possible to consider personal data as a new economic asset. Provides an overview of the positions on this issue in foreign and domestic scholarships. Opinions range from recognition of trade in public values unacceptable to statements concerning a shadow data market. Based on a hypothetical assumption of data tradability, the authors examine approaches to the definition of personal data as an object of civil rights. The research paper demonstrates that possible obstacles to the introduction of economic data circulation can emerge from legislative formulations as well as from general legal approach to the regime of personal data defense. The research paper examines experience of different countries in providing legal conditions for the legitimate commercial processing the collected data. The article illustrates reasons why trade in personal data is not a threat to human information rights and explains how the problem of privacy defense can be resolved. The nascent experience of foreign countries suggests that profiting from data commerce requires to remove regulatory barriers, and at the same time to publicly accompany market processes, since the State remains the main guarantor of the rights of its citizens. Taking into account the current development of the Russian digital economy and the approach to understanding personal data as a social value, the authors present their own recommendations for the Russian legislator on realization of the data commercialization project. The article is prepared within the research work on the public order of the RANEPA.


Web Services ◽  
2019 ◽  
pp. 2076-2085
Author(s):  
Emile Douilhet ◽  
Argyro P. Karanasiou

Big Data is a relatively recent phenomenon, but has already shown its potential to drastically alter the relationship between businesses, individuals, and governments. Many organisations now control vast amounts of raw data, and those industry players with the resources to mine that data to create new information have a significant advantage in the big data market. The aim of this chapter is to identify the legal grounds for the ownership of big data: who legally owns the petabytes and exabytes of information created daily? Does this belong to the users, the data analysts, or to the data brokers and various infomediaries? The chapter presents a succinct overview of the legal ownership of big data by examining the key players in control of the information at each stage of processing of big data. It then moves on to describe the current legislative framework with regard to data protection and concludes in additional techno-legal solutions offered to complement the law of big data in this respect.


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