Informational Privacy

2016 ◽  
pp. 95-124
Author(s):  
Robert H. Sloan ◽  
Richard Warner
Keyword(s):  
Informational Privacy

scholarly journals Internet privacy in Canada: a public interest perspective

2021 ◽  
Author(s):  
Julie Gustavel
Keyword(s):  
Personal Information ◽  
Online Environment ◽  
Informational Privacy ◽  
Online Data ◽  
Policy Makers ◽  
Privacy Concerns ◽  
Record Keeping ◽  
Internet Privacy ◽  
Legislative Action ◽  
Individual Privacy

Issues about informational privacy have emerged in tandem with the escalating increase in nformation stored in electronic formats. Data protection is a pressing issue not only because files of personal information are being kept in greater detail and for longer periods of time, but also because the data can be retrieved and compared or matched without delay, regardless of geography. While defenders of information technology cite efficiency and safety among the countervailing benefits, concerns from an increasingly tech-savvy public have introduced a sense of urgency to demand tough legislation. Although many studies have provided evidence of online privacy concerns, few have explored the nature of the concern in detail, especially in terms of government policy for our new online environment. Bill C-6, Canada's recent legislative action, has provided a practical basis from which to appraise governments' role in privacy protection. With this in mind, the paper will be divided into two parts. Part one will be undertaken to: (A) evaluate the arguments of critics as well as defenders of contemporary record-keeping practices and the philosophical conceptions of privacy, which underlie them; and, using these themes (B) provide a comprehensive assessment of the effectiveness of Bill C- 6, examining the ways in which policy makers have begun to treat privacy as both a commodity and a secondary adjunct to business activity. Part two of the paper, purposes a series of recommendations or, more specifically, a framework for Bill C-6 that would, more effectively, protect individual privacy from private entities, who collect online data.

Big Data and the Internet of Things

2021 ◽  
pp. 1321-1342
Author(s):  
Zablon Pingo ◽  
Bhuva Narayan
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Predictive Analytics ◽  
Negative Impact ◽  
Consumer Products ◽  
Informational Privacy ◽  
Protection Mechanisms ◽  
Iot Devices ◽  
Aid Decision ◽  
Privacy Issues

The privacy construct is an important aspect of internet of things (IoT) technologies as it is projected that over 20 billion IoT devices will be in use by 2022. Among other things, IoT produces big data and many industries are leveraging this data for predictive analytics to aid decision making in health, education, business, and other areas. Despite benefits in some areas, privacy issues have persisted in relation to the use of the data produced by many consumer products. The practices surrounding IoT and Big Data by service providers and third parties are associated with a negative impact to individuals. To protect consumers' privacy, a wide range of approaches to informational privacy protections exist. However, individuals are increasingly required to actively respond to control and manage their informational privacy rather than rely on any protection mechanisms. This chapter highlights privacy issues across consumers' use of IoT and identifies existing responses to enhance privacy awareness as a way of enabling IoT users to protect their privacy.

Trapped in My Mobility

2015 ◽  
pp. 1182-1203
Author(s):  
Lemi Baruh ◽  
Mihaela Popescu
Keyword(s):  
Mobile Devices ◽  
Control Flow ◽  
Mobile Environments ◽  
Communicative Interaction ◽  
Informational Privacy ◽  
Everyday Lives ◽  
The Everyday ◽  
Flow Of Information ◽  
Mobile Privacy

In the wake of the quick penetration of mobile devices into the everyday lives of individuals, protection of privacy in mobile ecosystems has become a hot button issue. Existing regulatory efforts on mobile privacy primarily focus on protection of the informational privacy of individuals. While necessary, focusing solely on informational privacy may not be sufficient in terms of protecting users' privacy in mobile environments. The chapter discusses the privacy implications of design architectures and economic arrangements in the mobile ecosystems and argues that mobile environments create privacy-threatening “sticky” relationships that make it increasingly difficult for individuals not only to control flow of information about themselves, but also flow of communication that targets them. This chapter argues that an important supplement to protecting users' privacy is to restore users' control over the communicative interaction with the companies seeking to target them. To that purpose, the chapter offers a set of principles, called “home mode” for mobile privacy, in implementing remedies for threats to privacy in mobile environments.

Informational, Physical, and Psychological Privacy as Determinants of Patient Behaviour in Health Care

2015 ◽  
pp. 686-705
Author(s):  
Natalia Serenko
Keyword(s):  
Cultural Values ◽  
Medical Information ◽  
Personal Information ◽  
Cultural Beliefs ◽  
Treatment Compliance ◽  
Three Dimensions ◽  
Health Issues ◽  
Informational Privacy ◽  
Patient Behaviour ◽  
Positive Word Of Mouth

This chapter presents and describes a theoretical framework explicating how three dimensions of privacy in healthcare (i.e. informational, physical, and psychological) influence patient behaviour through trust. Informational privacy is defined as the patients' perceptions of the degree of control over their personal information when their doctor collects, uses, disseminates, and stores their information. Physical privacy refers to the patients' perceptions of the degree of their physical inaccessibility to others. Psychological privacy is the patients' perceptions of the extent to which the physician allows them to participate in their healthcare decisions and maintains their personal and cultural values, such as inner thoughts, feelings, cultural beliefs, and religious practices. These types of privacy are especially important with respect to service quality and patient safety due to the recent advancements in information and telecommunication technologies and the availability of online medical information. As a result, patients have become more educated in various health issues, and many of them want to actively participate in their health decisions. The framework proposes that these privacy dimensions affect trust in a healthcare provider. Trust, in turn, has an effect on treatment compliance, positive word-of-mouth, and commitment to stay with the current service provider in the future. Based on the framework, recommendations for healthcare stakeholders are provided.

The informational privacy of patients in prehospital emergency care—Integrative literature review

2020 ◽  
Vol 29 (23-24) ◽  
pp. 4440-4453
Author(s):  
Eini Koskimies ◽  
Sanna Koskinen ◽  
Helena Leino‐Kilpi ◽  
Riitta Suhonen
Keyword(s):  
Literature Review ◽  
Emergency Care ◽  
Prehospital Emergency Care ◽  
Informational Privacy ◽  
Prehospital Emergency

Data Science and Designing for Privacy

2016 ◽  
Vol 20 (1) ◽  
pp. 51-68
Author(s):  
Michael Falgoust ◽  
Keyword(s):  
Data Science ◽  
Personal Information ◽  
Information Age ◽  
Large Data ◽  
Large Data Sets ◽  
Data Sets ◽  
Informational Privacy ◽  
Design Constraint ◽  
Classical Models ◽  
Privacy Problem

Unprecedented advances in the ability to store, analyze, and retrieve data is the hallmark of the information age. Along with enhanced capability to identify meaningful patterns in large data sets, contemporary data science renders many classical models of privacy protection ineffective. Addressing these issues through privacy-sensitive design is insufficient because advanced data science is mutually exclusive with preserving privacy. The special privacy problem posed by data analysis has so far escaped even leading accounts of informational privacy. Here, I argue that accounts of privacy must include norms about information processing in addition to norms about information flow. Ultimately, users need the resources to control how and when personal information is processed and the knowledge to make information decisions about that control. While privacy is an insufficient design constraint, value-sensitive design around control and transparency can support privacy in the information age.

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