scholarly journals Ride Sharing & Data Privacy: How Data Handling Affects the Willingness to Disclose Personal Information

Findings ◽  
2021 ◽  
Author(s):  
Carsten Hesselmann ◽  
Jan Gertheiss ◽  
Jörg P. Müller
Author(s):  
Anastasia Kozyreva ◽  
Philipp Lorenz-Spreen ◽  
Ralph Hertwig ◽  
Stephan Lewandowsky ◽  
Stefan M. Herzog

AbstractPeople rely on data-driven AI technologies nearly every time they go online, whether they are shopping, scrolling through news feeds, or looking for entertainment. Yet despite their ubiquity, personalization algorithms and the associated large-scale collection of personal data have largely escaped public scrutiny. Policy makers who wish to introduce regulations that respect people’s attitudes towards privacy and algorithmic personalization on the Internet would greatly benefit from knowing how people perceive personalization and personal data collection. To contribute to an empirical foundation for this knowledge, we surveyed public attitudes towards key aspects of algorithmic personalization and people’s data privacy concerns and behavior using representative online samples in Germany (N = 1065), Great Britain (N = 1092), and the United States (N = 1059). Our findings show that people object to the collection and use of sensitive personal information and to the personalization of political campaigning and, in Germany and Great Britain, to the personalization of news sources. Encouragingly, attitudes are independent of political preferences: People across the political spectrum share the same concerns about their data privacy and show similar levels of acceptance regarding personalized digital services and the use of private data for personalization. We also found an acceptability gap: People are more accepting of personalized services than of the collection of personal data and information required for these services. A large majority of respondents rated, on average, personalized services as more acceptable than the collection of personal information or data. The acceptability gap can be observed at both the aggregate and the individual level. Across countries, between 64% and 75% of respondents showed an acceptability gap. Our findings suggest a need for transparent algorithmic personalization that minimizes use of personal data, respects people’s preferences on personalization, is easy to adjust, and does not extend to political advertising.


Author(s):  
Julio Angulo

Frequent contact with online businesses requires Internet users to distribute large amounts of personal information. This spreading of users’ information through different Websites can eventually lead to increased probabilities for identity theft, profiling and linkability attacks, as well as other harmful consequences. Methods and tools for securing people’s online activities and protecting their privacy on the Internet, called Privacy Enhancing Technologies (PETs), are being designed and developed. However, these technologies are often perceived as complicated and obtrusive by users who are not privacy aware or are not computer or technology savvy. This chapter explores the way in which users’ involvement has been considered during the development process of PETs and argues that more democratic approaches of user involvement and data handling practices are needed. It advocates towards an approach in which people are not only seen as consumers of privacy and security technologies, but where they can play a role as the producers of ideas and sources of inspiration for the development of usable PETs that meet their actual privacy needs and concerns.


Author(s):  
Xun Li ◽  
Radhika Santhanam

Individuals are increasingly reluctant to disclose personal data and sometimes even intentionally fabricate information to avoid the risk of having it compromised. In this context, organizations face an acute dilemma: they must obtain accurate job applicant information in order to make good hiring decisions, but potential employees may be reluctant to provide accurate information because they fear it could be used for other purposes. Building on theoretical foundations from social cognition and persuasion theory, we propose that, depending on levels of privacy concerns, organizations could use appropriate strategies to persuade job applicants to provide accurate information. We conducted a laboratory experiment to examine the effects of two different persuasion strategies on prospective employees’ willingness to disclose information, measured as their intentions to disclose or falsify information. Our results show support for our suggestion As part of this study, we propose the term information sensitivity to identify the types of personal information that potential employees are most reluctant to disclose.


Author(s):  
Irene Chen

The story describes how three school institutes are grappling with the loss of private information, each through a unique set of circumstances. Pasadena City Public Schools discovered that it had sold several computers containing the names and Social Security numbers of employees as surplus. Stephens Public Schools learned that personal information about students at one of its middle schools was lost when a bag containing a thumb drive was stolen. Also, Woodlands Public Schools accidentally exposed employee personal data on a public Web site for a short period of time. How should each of the institutes react?


Author(s):  
Francisco García Martínez

The creation of the General Data Protection Regulation (GDPR) constituted an enormous advance in data privacy, empowering the online consumers, who were doomed to the complete loss of control of their personal information. Although it may first seem that it only affects companies within the European Union, the regulation clearly states that every company who has businesses in the EU must be compliant with the GDPR. Other non-EU countries, like the United States, have seen the benefits of the GDPR and are already developing their own privacy laws. In this article, the most important updates introduced by the GDPR concerning US corporations will be discussed, as well as how American companies can become compliant with the regulation. Besides, a comparison between the GDPR and the state of art of privacy in the US will be presented, highlighting similarities and disparities at the national level and in states of particular interest.


Author(s):  
Martha Davis

Big data and analytics have not only changed how businesses interact with consumers, but also how consumers interact with the larger world. Smart cities, IoT, cloud, and edge computing technologies are all enabled by data and can provide significant societal benefits via efficiencies and reduction of waste. However, data breaches have also caused serious harm to customers by exposing personal information. Consumers often are unable to make informed decisions about their digital privacy because they are in a position of asymmetric information. There are an increasing number of privacy regulations to give consumers more control over their data. This chapter provides an overview of data privacy regulations, including GDPR. In today's globalized economy, the patchwork of international privacy regulations is difficult to navigate, and, in many instances, fails to provide adequate business certainty or consumer protection. This chapter also discusses current research and implications for costs, data-driven innovation, and consumer trust.


Author(s):  
Francisco García Martínez

The creation of the General Data Protection Regulation (GDPR) constituted an enormous advance in data privacy, empowering the online consumers, who were doomed to the complete loss of control of their personal information. Although it may first seem that it only affects companies within the European Union, the regulation clearly states that every company who has businesses in the EU must be compliant with the GDPR. Other non-EU countries, like the United States, have seen the benefits of the GDPR and are already developing their own privacy laws. In this article, the most important updates introduced by the GDPR concerning US corporations will be discussed, as well as how American companies can become compliant with the regulation. Besides, a comparison between the GDPR and the state of art of privacy in the US will be presented, highlighting similarities and disparities at the national level and in states of particular interest.


2020 ◽  
pp. 004728752095164
Author(s):  
Athina Ioannou ◽  
Iis Tussyadiah ◽  
Graham Miller

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.


2015 ◽  
Vol 43 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Kaan Varnali ◽  
Aysegul Toker

Our aim was to contribute to the understanding of self-disclosure behavior on social networking sites (SNS). Participants (N = 1,294) completed online surveys comprising measures of willingness to disclose personal information on SNS, self-esteem, SNS affinity, self-disclosure, honesty of self-disclosure, subjective norm, self-monitoring skills, and public self-consciousness. Our findings suggest that self-disclosure mediates the impact of communication-based personality characteristics on the use of SNS, and that subjective norm and SNS affinity also have significant independent effects.


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