scholarly journals Measuring Profitability From the Use of Personal Data for Targeted Ads

2021 ◽  
Vol 23 ◽  
Author(s):  
Aidan Jack Katsikas ◽  
Vimal Murugan
Keyword(s):  
Social Media ◽  
Search Engine ◽  
Data Privacy ◽  
Personal Data ◽  
Privacy Concerns ◽  
Revenue Growth ◽  
Social Media Site ◽  
The Future

Companies like Facebook and Google track their users’ data to enhance their ads and offer highly targeted ad space. The question is then raised: how much more profitable does collecting data make companies and what is the future of these companies, as rising data privacy concerns are believed to result in the passage of future legislation? In order to isolate the effects of collecting data on profit, the revenue and revenue growth of Google and Facebook were compared to their competitors that do not collect data and revenue was adjusted to find the average per user. Google was compared to another search engine, DuckDuckGo, and Facebook was compared to a social media site, Yubo. Our analysis found that both Google and Facebook earned significantly larger amounts of revenue, per user, than their competitors who do not collect data. However, DuckDuckGo and Yubo both experienced considerably larger revenue growth this past year, highlighting improved success among companies relying on different models for generating revenue. Our research and similar studies will become more important once legislation is passed, as companies may have to pay taxes or fees associated with acquiring users’ data.

scholarly journals How to address data privacy concerns when using social media data in conservation science

2021 ◽  
Author(s):  
Enrico Di Minin ◽  
Christoph Fink ◽  
Anna Hausmann ◽  
Jens Kremer ◽  
Ritwik Kulkarni
Keyword(s):  
Social Media ◽  
Data Privacy ◽  
Conservation Science ◽  
Social Media Data ◽  
Privacy Concerns ◽  
Address Data ◽  
Media Data

Employing a Mixed Method to Explore Mobile Social Media Users' Big Data Privacy Concerns

2015 ◽  
pp. 302-320
Author(s):  
Kenneth C. C. Yang ◽  
Yowei Kang
Keyword(s):  
Social Media ◽  
Big Data ◽  
Social Networking ◽  
Data Privacy ◽  
Mobile Technologies ◽  
Personal Privacy ◽  
Privacy Concerns ◽  
Early 21St Century ◽  
Data Practices ◽  
Networking Technologies

Since its introduction in the early 21st century, mobile social media have played an indispensable part in contemporary human experiences. The convergence of social networking and mobile technologies and services creates a fascinating circumstance because the pervasive nature of mobile social networking technologies has impacted on users' privacy. The chapter employed a mixed research method to collect and analyze mobile social media users' experiences and privacy concerns in the age of Big Data. A total of 57 participants were included in this study. Collected data was analyzed by examining mobile social media users' experiences and their concerns over privacy. Findings from this study showed the rising concerns over personal privacy as a result of convergence of mobile social media and Big Data practices by the advertising industry. Theoretical and practical implications were discussed.

scholarly journals That’s Private! Understanding Travelers’ Privacy Concerns and Online Data Disclosure

2020 ◽  
pp. 004728752095164
Author(s):  
Athina Ioannou ◽  
Iis Tussyadiah ◽  
Graham Miller
Keyword(s):  
Data Privacy ◽  
Personal Information ◽  
Empirical Studies ◽  
Personal Data ◽  
Tourism Industry ◽  
Online Data ◽  
Biometric Data ◽  
Identity Verification ◽  
Privacy Concerns ◽  
Travel And Tourism

Against the backdrop of advancements in technology and its deployment by companies and governments to collect sensitive personal information, information privacy has become an issue of great interest for academics, practitioners, and the general public. The travel and tourism industry has been pioneering the collection and use of biometric data for identity verification. Yet, privacy research focusing on the travel context is scarce. This study developed a valid measurement of Travelers’ Online Privacy Concerns (TOPC) through a series of empirical studies: pilot ( n=277) and cross-validation ( n=287). TOPC was then assessed for its predictive validity in its relationships with trust, risk, and intention to disclose four types of personal data: biometric, identifiers, biographic, and behavioral data ( n=685). Results highlight the role of trust in mitigating the relationship between travelers’ privacy concerns and data disclosure. This study provides valuable contribution to research and practice on data privacy in travel.

scholarly journals Trust and The Acquisition and Use of Public Health Information

2021 ◽  
Author(s):  
Stephen Holland ◽  
Jamie Cawthra ◽  
Tamara Schloemer ◽  
Peter Schröder-Bäck
Keyword(s):  
Public Health ◽  
Health Information ◽  
Data Privacy ◽  
Empirical Work ◽  
Personal Data ◽  
Health Data ◽  
Privacy Concerns ◽  
External Threats ◽  
Trust In Institutions ◽  
The Way

AbstractInformation is clearly vital to public health, but the acquisition and use of public health data elicit serious privacy concerns. One strategy for navigating this dilemma is to build 'trust' in institutions responsible for health information, thereby reducing privacy concerns and increasing willingness to contribute personal data. This strategy, as currently presented in public health literature, has serious shortcomings. But it can be augmented by appealing to the philosophical analysis of the concept of trust. Philosophers distinguish trust and trustworthiness from cognate attitudes, such as confident reliance. Central to this is value congruence: trust is grounded in the perception of shared values. So, the way to build trust in institutions responsible for health data is for those institutions to develop and display values shared by the public. We defend this approach from objections, such as that trust is an interpersonal attitude inappropriate to the way people relate to organisations. The paper then moves on to the practical application of our strategy. Trust and trustworthiness can reduce privacy concerns and increase willingness to share health data, notably, in the context of internal and external threats to data privacy. We end by appealing for the sort of empirical work our proposal requires.

Employing a Mixed Method to Explore Mobile Social Media Users' Big Data Privacy Concerns

2016 ◽  
pp. 1528-1548
Author(s):  
Kenneth C. C. Yang ◽  
Yowei Kang
Keyword(s):  
Social Media ◽  
Big Data ◽  
Social Networking ◽  
Data Privacy ◽  
Mobile Technologies ◽  
Personal Privacy ◽  
Privacy Concerns ◽  
Early 21St Century ◽  
Data Practices ◽  
Networking Technologies

Since its introduction in the early 21st century, mobile social media have played an indispensable part in contemporary human experiences. The convergence of social networking and mobile technologies and services creates a fascinating circumstance because the pervasive nature of mobile social networking technologies has impacted on users' privacy. The chapter employed a mixed research method to collect and analyze mobile social media users' experiences and privacy concerns in the age of Big Data. A total of 57 participants were included in this study. Collected data was analyzed by examining mobile social media users' experiences and their concerns over privacy. Findings from this study showed the rising concerns over personal privacy as a result of convergence of mobile social media and Big Data practices by the advertising industry. Theoretical and practical implications were discussed.

Data Ownership

2021 ◽  
pp. 60-82
Author(s):  
Thora Knight
Keyword(s):  
Intellectual Property ◽  
Information Sharing ◽  
Data Privacy ◽  
Personal Data ◽  
Legal Framework ◽  
Legal Issues ◽  
Privacy Concerns ◽  
Wearable Technologies ◽  
Regulatory Climate ◽  
Health Laws

This chapter explores legal issues concerning ownership of data collected, shared, used, and transmitted via wearable technologies. Such widespread information sharing raises privacy concerns that existing legal protections do not address. The author analyzes prevailing legal regulatory climate surrounding data privacy, such as health laws and privacy policies. Next, the author highlights the inadequacy of these legal instruments and explicate the legal framework of intellectual property laws to determine ways to provide individuals with more control over their personal data.

Examination of Social Media Platforms in Terms of Privacy Policy

2021 ◽  
Author(s):  
Sema Bulat Demir ◽  
Ayten Övür
Keyword(s):  
Social Media ◽  
Data Privacy ◽  
Personal Data ◽  
Privacy Policy ◽  
Privacy Policies ◽  
Content Analysis Method ◽  
User Data ◽  
Social Media Platforms ◽  
Data Policy ◽  
Google Play

Nowadays, social media platforms are frequently being used on the Internet. When the users create an account for these platforms, they are required to accept the data privacy policy. With the approval of the data policy, major problems may arise such as observing every activity of users on the platform, violations of security and protection of personal data, and sharing user data with third parties for commercial purposes. In this regard, it is significant to examine the privacy policies of social media platforms in detail. In this research, we examined the privacy policies of the five most popular free applications on the communication section of the Google Play Store on January 30th, 2021. The privacy policies of these applications were analyzed with the content analysis method, and the research aims to reveal the area of utilization of the data that the users provide, with or without the permission of the user.

Wearable Devices and Privacy Concerns

2021 ◽  
pp. 208-230
Author(s):  
Ersin Dincelli ◽  
Xin Zhou ◽  
Alper Yayla ◽  
Haadi Jafarian
Keyword(s):  
Data Collection ◽  
Social Networking ◽  
Data Analytics ◽  
Data Privacy ◽  
Personal Data ◽  
Wearable Devices ◽  
Physical Activities ◽  
Lifestyle Habits ◽  
Privacy Concerns ◽  
Daily Physical Activities

Wearable devices have evolved over the years and shown significant increase in popularity. With the advances in sensor technologies, data collection capabilities, and data analytics, wearable devices now enable interaction among users, devices, and their environment seamlessly. Multifunctional nature of this technology enables users to track their daily physical activities, engage with other users through social networking capabilities, and log their lifestyle habits. In this chapter, the authors discuss the types of sensor technologies embedded in wearable devices and how the data collected through such devices can be further interpreted by data analytics. In parallel with abundance of personal data that can be collected via wearable devices, they also discuss issues related to data privacy, suggestions for users, developers, and policymakers regarding how to protect data privacy are also discussed.

Exploitative abuses in digital markets: between competition law and data protection law

2020 ◽  
Author(s):  
Miriam Caroline Buiten
Keyword(s):  
Market Power ◽  
Data Protection ◽  
Data Privacy ◽  
Personal Data ◽  
Competition Law ◽  
Privacy Concerns ◽  
Online Platforms ◽  
Data Protection Law ◽  
Collection Practices ◽  
Abuse Of Dominance

Abstract Online platforms increasingly offer consumers services ‘for free’, in exchange for collecting consumers’ personal data. This business model is highly successful, leading some online platforms to gain substantial market power. This market power can cause consumer harm—not through higher prices, but in the form of privacy harm. This article considers what role competition law and data protection law can play in mitigating this harm to privacy. The article considers how we can conceptualize exploitative abuse of dominance cases in zero-price markets. The article calls into question if data protection laws should play a role in antitrust abuse assessments, against the background of the Bundeskartellamt antitrust investigation into Facebook’s data collection practices. The article argues that, even in digital markets that unequivocally link market power with data privacy concerns, competition law and data protection law have complementary but distinct roles to play.

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