Driven by privacy-related fears, users of Online Social Networks may start to reduce their network activities. This trend can have a negative impact on network sustainability and its business value. Nevertheless, very little is understood about the privacy-related concerns of users and the impact of those concerns on identity performance. To close this gap, we take a systematic view of user privacy concerns on such platforms. Based on insights from focus groups and an empirical (...) study with 210 subjects, we find that (i) Organizational Threats and (ii) Social Threats stemming from the user environment constitute two underlying dimensions of the construct Privacy Concerns in Online Social Networks . Using a Structural Equation Model, we examine the impact of the identified dimensions of concern on the Amount, Honesty, and Conscious Control of individual self-disclosure on these sites. We find that users tend to reduce the Amount of information disclosed as a response to their concerns regarding Organizational Threats. Additionally, users become more conscious about the information they reveal as a result of Social Threats. Network providers may want to develop specific mechanisms to alleviate identified user concerns and thereby ensure network sustainability. (shrink)

Mobile social media have become a widespread means to participate in everyday social and professional life. These platforms encourage the disclosure and exchange of personal information, which comes with privacy risks. While past scholarship has listed various predictors and consequences of online privacy concerns, there has been to date no empirical investigation of a conceivable relationship with perceived stress. Using a longitudinal panel study, we examined the reciprocal relationship between mobile social media privacy concerns and (...) perceived stress. Results supported the hypothesis that mobile social media privacy concerns at T1 are associated with higher perceived stress at T2. However, we found no evidence for the reverse association, that is, perceived stress at T1 was not related to mobile social media privacy concerns at T2. The findings are discussed based on two models—the “Antecedents privacy concerns outcomes” model and the “Privacy calculus” model. (shrink)

Purpose Whereas integration of big data in “e-Oman” – the e-government face of Oman – is a significant prospect, this paper aims to underscore the challenges of privacy concerns in effecting such integration. Design/methodology/approach Providing a brief description about the concepts of e-government and big data, the paper follows a discussion on “e-Oman”. While drawing a framework for integration of big data in “e-Oman”, the paper throws light on the privacy concerns in effecting such an integration (...) following a qualitative approach. Findings Integration of big data in “e-Oman” is fraught with ethical challenges in terms of privacy issues which have social implications. Practical implications While the pros of integration of big data in “e-Oman” are noteworthy, technical and administrative constraints vis-à-vis the cons of such integration need to be taken care of. It may be underlined that there is a trade-off between the norms of transparency and privacy of individuals versus the deployment of big data in “e-Oman” for effective real-time problem-solving. Social implications Technical and administrative infrastructure needs to be robust for countering challenges of cybercrimes. Furthermore, confidentiality and privacy of individuals may be at stake; the government needs to tackle these issues. Originality/value Integration of big data in “e-Oman” needs to be probed, and this paper seeks to fill this gap. Second, the paper underscores that it is important that ethical norms are being accounted for while effecting this integration. (shrink)

Privacy concerns can effectively predict behavioral intention between users and short-form video platforms, but existing studies lack of multidimensional scales to measure privacy concerns towards short-form video platforms. To this end, this study took privacy concerns theory as the theoretical foundation to develop and validate a multidimensional privacy concerns scale in short-form video platforms by referring to the development of Smith, Milberg and Burke' multidimensional scale of concerns for information privacy, (...) Sheehan and Hoy's multidimensional scale of privacy concerns, Malhotra, Kim and Agarwal's Internet users' information privacy concerns scale, and Hong and Thong's Internet privacy concerns multidimensional scale. In this research, three representative short-form video platforms, TikTok, Kuaishou and Xigua, were selected as research samples. The multidimensional privacy concerns scale was refined by qualitative interviews and open-ended questionnaires et al. and tested by item analysis, exploratory factor analysis, confirmatory factor analysis, and discriminant validity et al. The results show that the privacy concerns scale towards short-form video platforms consists of three dimensions: collection concerns, awareness concerns, and usage concerns. And the multidimensional scale developed in this study has good reliability, convergent validity, and content validity, which can help guide short-form video platforms to take targeted measures to manage privacy concerns in business practices and provide a basis for future empirical studies on privacy concerns. (shrink)

Purpose Existing algorithms for predicting suicide risk rely solely on data from electronic health records, but such models could be improved through the incorporation of publicly available socioeconomic data – such as financial, legal, life event and sociodemographic data. The purpose of this study is to understand the complex ethical and privacy implications of incorporating sociodemographic data within the health context. This paper presents results from a survey exploring what the general public’s knowledge and concerns are about such (...) publicly available data and the appropriateness of using it in suicide risk prediction algorithms. Design/methodology/approach A survey was developed to measure public opinion about privacy concerns with using socioeconomic data across different contexts. This paper presented respondents with multiple vignettes that described scenarios situated in medical, private business and social media contexts, and asked participants to rate their level of concern over the context and what factor contributed most to their level of concern. Specific to suicide prediction, this paper presented respondents with various data attributes that could potentially be used in the context of a suicide risk algorithm and asked participants to rate how concerned they would be if each attribute was used for this purpose. Findings The authors found considerable concern across the various contexts represented in their vignettes, with greatest concern in vignettes that focused on the use of personal information within the medical context. Specific to the question of incorporating socioeconomic data within suicide risk prediction models, the results of this study show a clear concern from all participants in data attributes related to income, crime and court records, and assets. Data about one’s household were also particularly concerns for the respondents, suggesting that even if one might be comfortable with their own being used for risk modeling, data about other household members is more problematic. Originality/value Previous studies on the privacy concerns that arise when integrating data pertaining to various contexts of people’s lives into algorithmic and related computational models have approached these questions from individual contexts. This study differs in that it captured the variation in privacy concerns across multiple contexts. Also, this study specifically assessed the ethical concerns related to a suicide prediction model and determining people’s awareness of the publicness of select data attributes, as well as which of these data attributes generated the most concern in such a context. To the best of the authors’ knowledge, this is the first study to pursue this question. (shrink)

Education at all levels is increasingly augmented and enhanced by data mining and analytics, catalysed by the growing prevalence of automated distance learning. With an unprecedented capacity to scale both horizontally and vertically, data mining and analytics are set to be a transformative part of the future of education. We reflect on the assumptions behind data mining and the potential consequences of learning analytics, with reference to an issue brief prepared for the U.S. Department of Education entitled Enhancing Teaching and (...) Learning Through Educational Data Mining and Learning Analytics. We argue that the associated gains conceal subtle, but important risks. Data-ism, an underpinning paradigm, assigns unjustified veracity to data-driven science and the application of personalised analytics may compromise individual privacy, agency and inventiveness. This holds serious ethical implications, particularly when considering the impact on minors, rendering wholesale adoption premature. (shrink)

I join Gerben Meynen’s call for an ethical assessment of mind-reading technology by enlarging on four points he raises. First, I suggest distinguishing between neural and mental data, apprehending...

Purpose The purpose of this paper is to demonstrate privacy concerns arising from the rapidly increasing advancements and use of artificial intelligence technology and the challenges of existing privacy regimes to ensure the on-going protection of an individual’s sensitive private information. The authors illustrate this through a case study of energy smart meters and suggest a novel combination of four solutions to strengthen privacy protection. Design/methodology/approach The authors illustrate how, through smart meter obtained energy data, home (...) energy providers can use AI to reveal private consumer information such as households’ electrical appliances, their time and frequency of usage, including number and model of appliance. The authors show how this data can further be combined with other data to infer sensitive personal information such as lifestyle and household income due to advances in AI technologies. Findings The authors highlight data protection and privacy concerns which are not immediately obvious to consumers due to the capabilities of advanced AI technology and its ability to extract sensitive personal information when applied to large overlapping granular data sets. Social implications The authors question the adequacy of existing privacy legislation to protect sensitive inferred consumer data from AI-driven technology. To address this, the authors suggest alternative solutions. Originality/value The original value of this paper is that it illustrates new privacy issues brought about by advances in AI, failings in current privacy legislation and implementation and opens the dialog between stakeholders to protect vulnerable consumers. (shrink)

Technology used in online marketing has advanced to a state where collection, enhancement and aggregation of information are instantaneous. This proliferation of customer information focused technology brings with it a host of issues surrounding customer privacy. This article makes two key contributions to the debate concerning digital privacy. First, we use theories of justice to help understand the way consumers conceive of, and react to, privacy concerns. Specifically, it is argued that an important component of consumers' (...) privacy concerns relates to fairness judgments, which in turn comprise of the two primary components of distributive and procedural justice. Second, we make a number of prescriptions, aimed at both firms and regulators, based on the notion that consumers respond to perceived privacy violations in much the same way they would respond to an unfair exchange. (shrink)

Recently, there has been a heavy debate in the US about the government’s use of data mining in its fight against terrorism. Privacy concerns in fact led the Congress to terminate the funding of TIA, a program for advanced information technology to be used in the combat of terrorism. The arguments put forward in this debate, more specifically those found in the main report and minority report by the TAPAC established by the Secretary of Defense to examine the (...) TIA issue, will be analysed to trace the deeper roots of this controversy. This analysis will in turn be used as a test case to examine the adequacy of the usual theoretical frameworks for these kinds of issues, in particular the notion of privacy. Whereas the dominant theoretical framing of the notion of privacy turns around access to information, most of the core arguments in the debate do not fit in this kind of framework. The basic disagreements in the controversy are not about mere access, they involve both access and use. Furthermore, whereas the issue of access by itself refers to a more or less static situation, the real disagreements much more concern the organisational dynamics of the use of information, the mechanisms in the organisation that control these dynamics, and the awareness present within the organisation of the ‘social risks’ these dynamics represent. The bottom line question is whether the assessment of these gives sufficient reason for trust. (shrink)

PurposeThis paper aims to investigate behavioural changes related to self-censorship (SC) in social networking sites (SNSs) as new methods of online surveillance are introduced. In particular, it examines the relationships between SC and four related factors: privacy concerns (PC), privacy awareness (PA), perceived vulnerability (PV) and information management (IM).Design/methodology/approachA national wide survey was conducted in the UK (N= 519). The data were analysed to present both descriptive and inferential statistical findings.FindingsThe level of online SC increases as the (...) level of privacy concern increases. The level of privacy concern increases as the levels of PA and PV increase and the level of effective IM decreases.Originality/valueThis study extends the literature on online SC, showing that PCs increase the level of SC in SNSs. It provides support for three antecedent factors to PC which impact upon levels of SC when communicating in SNSs. (shrink)

Technology used in online marketing has advanced to a state where collection, enhancement and aggregation of information are instantaneous. This proliferation of customer information focused technology brings with it a host of issues surrounding customer privacy. This article makes two key contributions to the debate concerning digital privacy. First, we use theories of justice to help understand the way consumers conceive of, and react to, privacy concerns. Specifically, it is argued that an important component of consumers’ (...) privacy concerns relates to fairness judgments, which in turn comprise of the two primary components of distributive and procedural justice. Second, we make a number of prescriptions, aimed at both firms and regulators, based on the notion that consumers respond to perceived privacy violations in much the same way they would respond to an unfair exchange. (shrink)

The framework proposed by Dupras and Bunnik was developed in response to their recognition that standard regulations are increasingly inadequate to address the complex privacy issues created by the...

This paper investigates the drivers and inhibitors of Internet privacy concern. Applying the Multidimensional Development Theory to the online environment, we identify the important factors under four dimensions—i.e., environmental, individual, information management, and interaction management. We tested our model using data from an online survey of 2417 individuals in Hong Kong. The results show that the factors under all four dimensions are significant in the formation of Internet privacy concern. Specifically, familiarity with government legislation, Internet knowledge, benefit of (...) information disclosure, privacy protection, and social presence reduce Internet privacy concern, while individuals’ previous privacy invasion experience, risk avoidance personality, and sensitivity of information requested by websites increase Internet privacy concern. We conducted an analysis of unobserved heterogeneity to confirm the significance of these factors. A follow-up moderation analysis shows that the individual factors moderate the effects of the information management factor and the interaction management factors. The findings provide an integrated understanding of the formation of Internet privacy concern. (shrink)

Online health communities have enjoyed increasing popularity in recent years, especially in the context of the COVID-19 pandemic. However, several concerns have been raised regarding the privacy of users’ personal information in OHCs. Considering that OHCs are a type of data-sharing or data-driven platform, it is crucial to determine whether users’ health information privacy concerns influence their behaviors in OHCs. Thus, by conducting a survey, this study explores the impact of users’ health information privacy (...) class='Hi'>concerns on their engagement and payment behavior in OHCs. The empirical results show that users’ concerns about health information privacy reduce their Paid in OHCs by negatively influencing their OHC engagement. Further analysis reveals that if users have higher benefit appraisals and lower threat appraisals, the negative effect of health information privacy concerns on users’ OHC engagement will decrease. (shrink)

This study focuses on two specific privacy policies, namely privacy assurance and personalization declaration. Specifically, we investigate how these distinct privacy policies affect customers’ privacy concerns and subsequent purchase responses. We have developed a conceptual model that addresses the independent effects of privacy assurance and personalization declaration, as well as the mechanism of these effects. Our model is grounded in motivation theory and supported by a field experiment and a controlled experiment. Our study demonstrates (...) that privacy assurance that claims security protection negatively affects customers’ purchase probability and purchase amount. By contrast, personalization declaration that addresses personalized benefits positively affects customers’ purchase probability and purchase amount. Privacy concerns significantly mediate the negative effects of privacy assurance on purchase responses and the positive effects of personalization declaration on purchase responses. Overall, our findings inform managers of how to deploy privacy policies to reduce customers’ privacy concerns and boost purchase responses. (shrink)

The proliferation of electronic databases has given rise to many practices and occurrences that pose serious threats to personal privacy. This paper argues that attention to privacy should be an integral part of the database design process, and that database designers are uniquely positioned to ensure that this happens. To motivate students to become privacy‐conscious database design professionals, computer science programs must meet the challenges of implementing an “ethics across the curriculum” methodology to integrate privacy content (...) throughout the design thread of the introductory database course. (shrink)

EDUCERE is a government funded research and development project. EDUCERE objectives are to investigate, develop, and evaluate innovative solutions for society to detect changes in psychomotor development through the natural interaction of children with toys and everyday objects, and perform stimulation and early attention activities in real environments such as home and school. In the EDUCERE project, an ethical impact assessment is carried out linked to a minors’ data protection rights. Using a specific methodology, the project has achieved some promising (...) results. These include use of a prototype of smart toys to detect development difficulties in children. In addition, privacy protection measures which take into account the security concerns of health data, have been proposed and applied. This latter security framework could be useful in other Internet of Things related projects. It consists of legal and technical measures. Special attention has been placed in the transformation of bulk data such as acceleration and jitter of toys into health data when patterns of atypical development are found. The article describes the different security profiles in which users are classified. (shrink)

Purpose Human genomic research demands very large pools of data to generate meaningful inference. Yet, the sharing of one’s genetic data for research is a voluntary act. The collection of data sufficient to fuel rapid advancement is contingent on individuals’ willingness to share. Privacy risks associated with sharing this unique and intensely personal data are significant. Genetic data are an unambiguous identifier. Public linkage of donor to their genetic data could reveal predisposition to diseases, behaviors, paternity, heredity, intelligence, etc. (...) The purpose of this paper is to understand individuals’ willingness to volunteer their private information in this high-risk/high-reward context. Design/methodology/approach The authors collect survey data from 273 respondents and use structural equation modeling techniques to analyze responses. Findings The authors find statistical support for our theorization. They find that while heightened awareness of the benefits and risks of sharing correlates with increased privacy concerns, the net impact is an increase in intention to share. Social implications The findings suggest that prescriptive awareness might be an effective tool with which policy-makers can gain the sufficient voluntary participation from individuals necessary to drive large-scale medical research. Originality/value This study contributes a theoretically and empirically informed model which demonstrates the impact of awareness and privacy concern on individuals’ willingness to share their genetic data for large-scale HGR. It helps inform a rising class of data sufficiency problems related to large-scale medical research. (shrink)

Mobile health services have been widely used in medical services and health management through mobile devices and multiple channels, such as smartphones, wearable equipment, healthcare applications, and medical platforms. However, the number of the users who are currently receiving the mHealth services is small. In China, more than 70% of internet users have never used mHealth services. Such imbalanced situation could be attributed to users’ traditional concept of medical treatment, psychological factors and privacy concerns. The purpose of this (...) study is to explore the direct and indirect effects of mHealth users’ self-efficacy and privacy concerns on their intention to adopt mHealth services, providing guidelines for mHealth service providers to enhance users’ intention of adoption. A questionnaire was designed by the research team and 386 valid responses were collected from domestic participants in China. Based on the unified theory of acceptance and use of technology model, a research model integrated self-efficacy and privacy concerns was constructed to investigate their effects on users’ intention to adopt mobile mHealth services. The results show that self-efficacy could facilitate users’ intention to adopt mHealth services, and had a significantly positive effect on perceived ubiquity, effort expectancy, performance expectancy and subjective norm. This study verifies the direct and indirect effects of self-efficacy and privacy concerns on users’ intention to adopt mHealth services, providing a different perspective for studying mHealth adoption behavior. The findings could provide guidelines for mHealth service providers to improve their service quality and enhance users’ intention of adoption. (shrink)

"Data mining is not an invasion of privacy because access to data is only by machines, not by people": this is the argument that is investigated here. The current importance of this problem is developed in a case study of data mining in the USA for counterterrorism and other surveillance purposes. After a clarification of the relevant nature of privacy, it is argued that access by machines cannot warrant the access to further information, since the analysis will have (...) to be made either by humans or by machines that understand. It concludes that the current data mining violates the right to privacy and should be subject to the standard legal constraints for access to private information by people. (shrink)

The initial online publication contained a typesetting mistake in the author information. The original article has been corrected.

A correction to this paper has been published: https://doi.org/10.1007/s10551-021-04854-9.

Artificial intelligence (AI) technologies in medicine are gradually changing biomedical research and patient care. High expectations and promises from novel AI applications aiming to positively impact society raise new ethical considerations for patients and caregivers who use these technologies. Based on a qualitative content analysis of semi-structured interviews and focus groups with healthcare professionals (HCPs), patients, and family members of patients with Parkinson’s Disease (PD), the present study investigates participant views on the comparative benefits and problems of using human versus (...) AI predictive computer vision health monitoring, as well as participants’ ethical concerns regarding these technologies. Participants presumed that AI monitoring would enhance information sharing and treatment, but voiced concerns about data ownership, data protection, commercialization of patient data, and privacy at home. They highlighted that privacy issues at home and data security issues are often linked and should be investigated together. Findings may help technologists, HCPs, and policymakers determine how to incorporate stakeholders’ intersecting but divergent concerns into developing and implementing AI PD monitoring tools. (shrink)

Fall prediction using machine learning has become one of the most fruitful and socially relevant applications of computer vision in gerontological research. Since its inception in the early 2000s, this subfield has proliferated into a robust body of research underpinned by various machine learning algorithms (including neural networks, support vector machines, and decision trees) as well as statistical modeling approaches (Markov chains, Gaussian mixture models, and hidden Markov models). Furthermore, some advancements have been translated into commercial and clinical practice, with (...) companies in various stages of development capitalizing on the aging population to develop new commercially available products. Yet despite the marvel of modern machine learning-enabled fall prediction, little research has been conducted to shed light on the security and privacy concerns that such systems pose for older adults. The present study employs an interdisciplinary lens in examining privacy issues associated with machine learning fall prediction and exploring the implications of these models in elderly care and the Internet of Medical Things (IoMT). Ultimately, a justice-informed set of best practices rooted in social geroscience is suggested to help fall prediction researchers and companies continue to advance the field while preserving elderly privacy and autonomy. (shrink)

One of the most influential views in privacy scholarship is that privacy protects individual autonomy. On the early liberal view, the exercise of autonomy requires detachment from social and political life and privacy facilitates it. This view of privacy still informs current legal and political practice. As this view of privacy presupposes a tension between privacy and society, it is responsible for the underrating of privacy in legal and political practice. Over the last (...) decades, liberal reflection on autonomy has shifted from the early liberal understanding of autonomy as calling for detachment from social life to the idea of autonomy as socially embedded. This development has brought about a corresponding adjustment in the liberal concept of privacy: privacy has come to be seen as a social rather than merely an individual interest. The social turn in thinking about privacy has gone a long way to change the problematic image of privacy in legal and political practice. It has not gone far enough, however, to draw conclusions regarding the political relevance of privacy. I argue that we should understand autonomy as politically embedded. Revised along these lines, privacy has a political value: when we claim privacy, we do not make a claim to withdraw from political life, but rather make a claim to protect certain forms of political engagement. (shrink)

The privacy and security of computerised medical data have become a major concern in Britain since the launch of the national electronic network for the National Health Service . A stakeholder analysis approach helps identify the wide range of the concerns which are involved, and this contributes to understanding the broader context within which technological developments take place and ethical concerns arise. The author is a member of the Information Systems Department of London School of Economics and (...) Political Science [LSE], Houghton Street, London WC2A 2AE, England; email [email protected]. (shrink)

Current sophisticated technologies in the workplace offer inexpensive and user-friendly devices and the means to control ‘on-the-job’ behaviour. This promises high profitability, productivity and liability alleviation. Yet, it also gives rise to a socio-ethical crisis of incessant surveillance that often overrules its anticipated benefits and motives of control and care. The dilemma is twofold: First, scholarly studies undertaken on this issue from a principally administrative and legal point of view tend to lack a moral framework and so prove unable to (...) offer an integral understanding. Second, a majority of scholars tend to focus exclusively on individual rights, such as privacy, even at the risk of overlooking its social impact and consequences. This paper thus aims to unravel these forgotten moral and social concerns. It analyses the surveillance frameworks and the arguments for and against it; scrutinises critically the technological devices most often implemented in the workplace; examines both its individual effects (privacy) and social effects (categorising); and proposes an ethics of workplace surveillance in a framework of trust and transparency. It argues, in all these ways, for an alteration or modification of traditional organisational behaviour within a new frame of reference, situated within and going beyond questions of moral duty, principles and legal compliance. (shrink)

Issues of privacy and employee health screening rank as two of the most important ethical concerns organizations will face in the next five years. Despite the increasing numbers of social scientists researching personal privacy and the current focus on workplace privacy rights as one of the most dynamic areas of employment law, the concept of privacy remains relatively abstract. Understanding how the courts define privacy and use the expectation of privacy standards is paramount (...) given the strategic importance of the law as a legal socializing agent. This article reports on two federal court decisions involving employer drug and HIV testing whose determinations relied on assumptions about the psychological dimensions of privacy. How the courts define privacy, the outcome of this definition and the ethical ramifications as it affects the employee/employer relationship are discussed. (shrink)

Increasing privacy concerns are arising from expanding use of aggregated personal information in health practices. Conversely, in light of the promising benefits of data driven healthcare, privacy...

Today’s computer network technologies are sociologically founded on hunter-gatherer principles; common users may be possible subjects of surveillance and sophisticated internet-based attacks are almost impossible to prevent. At the same time, information and communication technology, ICT offers the technical possibility of embedded privacy protection. Making technology legitimate by design is a part of the intentional design for democracy. This means incorporating options for socially acceptable behaviour in technical systems, and making the basic principles of privacy protection, rights and (...) responsibilities, transparent to the user. The current global e-polis already has, by means of different technologies, de facto built-in policies that define the level of user-privacy protection. That which remains is to make their ethical implications explicit and understandable to citizens of the global village through interdisciplinary disclosive ethical methods, and to make them correspond to the high ethical norms that support trust, the essential precondition of any socialization. The good news is that research along these lines is already in progress. Hopefully, this will result in a future standard approach to the privacy of network communications. (shrink)

In the last few years, a great deal of attention has been paid to the effects that the achievements of the Human Genome Project will have on the confidentiality of medical information. The Genetic Privacy Act is an attempt to address the privacy, confidentiality, and property rights relating to obtaining, requesting, using, storing, and disposing of genetic material. The GPA grew out of concerns over the vast amount of genetic information that is a product of the Human (...) Genome Project. The central goals of the GPA are twofold: to define an individual's right to control access to their genetic material and the privilege to control the information derived therefrom; and to prevent potential and actual abuse of genetic information by third parties, such as insurance companies, employers, and government. The GPA is one of a group of proposals that seek to control the flow of medical information from the individual to health care professionals and to other persons. (shrink)

In the last few years, a great deal of attention has been paid to the effects that the achievements of the Human Genome Project will have on the confidentiality of medical information. The Genetic Privacy Act is an attempt to address the privacy, confidentiality, and property rights relating to obtaining, requesting, using, storing, and disposing of genetic material. The GPA grew out of concerns over the vast amount of genetic information that is a product of the Human (...) Genome Project. The central goals of the GPA are twofold: to define an individual's right to control access to their genetic material and the privilege to control the information derived therefrom; and to prevent potential and actual abuse of genetic information by third parties, such as insurance companies, employers, and government. The GPA is one of a group of proposals that seek to control the flow of medical information from the individual to health care professionals and to other persons. (shrink)

The aim of this study was to identify and analyse ethical decision making in the home care of persons with long-term mental illness. A focus was placed on how health care workers interpret and deal with the principle of autonomy in actual situations. Three focus groups involving mental health nurses who were experienced in the home care of persons with chronic mental illness were conducted in order to stimulate an interactive dialogue on this topic. A constant comparative analysis of the (...) transcribed audiotaped sessions identified a central theme that concerned the moral symbolic meaning of ‘home’. This reflected the health care workers’ conflict between their professional role and their moral role, which they perceived as unclear. (shrink)

Selected by the Economist as one of the best books of 2020. -/- Privacy Is Power argues that people should protect their personal data because privacy is a kind of power. If we give too much of our data to corporations, the wealthy will rule. If we give too much personal data to governments, we risk sliding into authoritarianism. For democracy to be strong, the bulk of power needs to be with the citizenry, and whoever has the data (...) will have the power. Privacy, I argue, is not a personal preference; it is a political concern. I also argue that personal data is a toxic asset, and should be regulated as if it were a toxic substance, similar to asbestos. I call for a complete ban to the trade in personal data. The book is at once philosophical and political, and extremely practical and accessible. It discusses liberal democracy, equality, justice, and autonomy. It includes a chapter for policymakers, and one that addresses what ordinary citizens can do to protect privacy. Finally, the book covers the tension between privacy and public health in the context of covid19. -/- . (shrink)

Must privacy and freedom of expression conflict? To witness recent debates in Britain, you might think so. Anything other than self-regulation by the press is met by howls of anguish from journalists across the political spectrum, to the effect that efforts to protect people’s privacy will threaten press freedom, promote self-censorship and prevent the press from fulfilling its vital function of informing the public and keeping a watchful eye on the activities and antics of the powerful.[Brown, 2009, 13 (...) January]1 Effective protections for privacy, from such a perspective, inevitably pose a threat to democratic government via the constraints that they place on the press. Such concerns with privacy must be taken seriously by anyone who cares about democratic government, and the freedom, equality and wellbeing of individuals. But if it is one thing to say that privacy and freedom of expression cannot always be fully protected, it is another to suppose that protections for the one must always come at the expense of the other. After all, the economics of contemporary politics and journalism would seem to be partly responsible for our difficulties in protecting personal privacy while sustaining robust and informative forms of public discourse. [Moore, 2010, 10 -141]2 Most newspapers are loss-making businesses and the need to reduce those losses and, if possible, to turn a profit, make investigative journalism an increasingly expensive proposition as compared to both “comment” and more or less elevated forms of gossip. At the same time, politics has increasingly become the prerogative of a narrow group of people with access to the large sums of money necessary successfully to compete for high office. In those circumstances, the need for critical scrutiny is as important as it is difficult. Revising our ideas about privacy and its protection cannot alone reduce the tensions between freedom of expression and personal privacy typical of our societies, necessary though such revision may be. Moreover, this paper can only touch on some aspects of the ways in which we need to rethink our interests in privacy, in order adequately to reflect people’s diverse interests in freedom of expression, and the important role of a free press to democratic government. Nonetheless, I hope to suggest ways of thinking about people’s claims to privacy which can be generalised fairly readily, and can help us to think constructively about the nature, causes and solutions to some important social and political problems, even if, in its nature, philosophical analysis rarely tells us what to do. More specifically, this paper argues that people are entitled to keep some true facts about themselves to themselves, should they so wish, as a sign of respect for their moral and political status, and in order to protect themselves from being used as a public example in order to educate or to entertain other people. The “outing” - or non-consensual public disclosure - of people’s health records or status, or their sexual behaviour or orientation is usually unjustified, even when its consequences seem to be beneficial. Indeed, the paper claims, the reasons to reject outing, as inconsistent with democratic commitments to freedom and equality, are reasons to insist on the importance of privacy to freedom of expression. While a free press is of the utmost importance to democratic government, it is not identical with the free expression of individuals and, on occasion, the former may have to be constrained in order to protect the latter. [Barendt, 2007, 231]. Hence, the paper concludes, we should distinguish the claims of individuals to publish reports about their lives – even if this necessarily involves revealing the private lives of others – from journalistic claims to publish information about the sex lives of consenting adults. I will start by briefly situating my argument within a democratic approach to privacy, before using the “outing” of Oliver Sipple to examine people’s claims to privacy and their implications for freedom of expression and of the press. I will be assuming that some forms of privacy are legitimate, in order to focus more closely on the question of what information, if any, people may keep to themselves. (shrink)

This article aims to explore the attitudes and behaviors of persons with intellectual and developmental disabilities related to their information privacy when using information technology. Six persons with IDD were recruited to participate to a series of 3 semistructured focus groups. Data were analyzed following a hybrid thematic analysis approach. Only 2 participants reported using IT every day. However, they all perceived IT use benefits, such as an increased autonomy. Participants demonstrated awareness of privacy concerns, but not (...) in situations involving the use of technology; their awareness is not transferred to the abstract context of IT use. Privacy breaches were revealed to be a major risk for persons with IDD, who did not seem to understand how their personal information was used. Most protection mechanisms and tools reported were those suggested and implemented by caregivers and close relatives who had a great influence on the participants’ attitudes and behaviors toward IT and privacy. Our findings suggest that when using IT, persons with IDD often experience the consequences of a trade-off between autonomy and privacy. Further research and action is needed to support persons with IDD to understand and balance the benefits of IT use and the inherent threats to information privacy. (shrink)

Concerns with improper collection and usage of personal information by businesses or governments have been seen as critical to the success of the emerging electronic commerce. In this regard, computer professionals have the oversight responsibility for information privacy because they have the most extensive knowledge of their organization's systems and programs, as well as an intimate understanding of the data. Thus, the competence of these professionals in ensuring sound practice of information privacy is of great importance to (...) both researchers and practitioners. This research addresses the question of whether male computer professionals differ from their female counterparts in their self-regulatory efficacy to protect personal information privacy. A total of 103 male and 65 female subjects surveyed in Taiwan responded to a 10-item questionnaire that includes three measures: protection (protecting privacy information), non-distribution (not distributing privacy information to others), and non-acquisition (not acquiring privacy information). The findings show (1) significant gender differences exist in the subjects' overall self-regulatory efficacy for information privacy, and, in particular, (2) that female subjects in this study exhibited a higher level of self-regulatory efficacy than males for the protection and non-acquisition of personal privacy information. The identification of the factorial structure of the self-regulatory efficacy concerning information privacy may contribute to future research directed to examining the links between privacy efficacy and psychological variables, such as ethical attitude, ethical intention, and self-esteem. Studies can also be extended to investigate how different cultural practices of morality and computer use in men and women may shape the different development patterns of privacy self-efficacy. Understanding the different cultural practices may then shed light on the social sources of privacy competence and the appropriate remedies that can be provided to improve the situation. (shrink)

As privacy concerns among consumers rise, service providers increasingly want to provide services that support privacy enhancing technologies. At the same time, online service providers must be able to protect themselves against misbehaving users. For instance, users that do not pay their bill must be held accountable for their behavior. This tension between privacy and accountability is fundamental, however a tradeoff is not always required. In this article we propose the concept of a time capsule, that (...) is, a verifiable encryption with timed and revocable decryptability. The time capsule together with its related protocols offer support of privacy while retaining strong accountability. In our scheme an honest user may enjoy full anonymity, but dishonest users who do not pay their bill have their identity revealed. In contrast to existing revocable anonymity systems, our proposed scheme requires less trust in an external authority, while simultaneously making accountability easier (and less costly) to achieve. (shrink)

Privacy concerns involving data mining are examined in terms of four questions: What exactly is data mining? How does data mining raise concerns for personal privacy? How do privacy concerns raised by data mining differ from those concerns introduced by traditional information-retrieval techniques in computer databases? How do privacy concerns raised by mining personal data from the Internet differ from those concerns introduced by mining such data from data warehouses? It (...) is argued that the practice of using data-mining techniques, whether on the Internet or in data warehouses, to gain information about persons raises privacy concerns that go beyond concerns introduced in traditional information-retrieval techniques in computer databases and are not covered by present data-protection guidelines and privacy laws. (shrink)

This article aims to explore the attitudes and behaviors of persons with intellectual and developmental disabilities (IDD) related to their information privacy when using information technology (IT). Six persons with IDD were recruited to participate to a series of 3 semistructured focus groups. Data were analyzed following a hybrid thematic analysis approach. Only 2 participants reported using IT every day. However, they all perceived IT use benefits, such as an increased autonomy. Participants demonstrated awareness of privacy concerns, (...) but not in situations involving the use of technology; their awareness is not transferred to the abstract context of IT use. Privacy breaches were revealed to be a major risk for persons with IDD, who did not seem to understand how their personal information was used. Most protection mechanisms and tools reported were those suggested and implemented by caregivers and close relatives who had a great influence on the participants’ attitudes and behaviors toward IT and privacy. Our findings suggest that when using IT, persons with IDD often experience the consequences of a trade-off between autonomy and privacy. Further research and action is needed to support persons with IDD to understand and balance the benefits of IT use and the inherent threats to information privacy. (shrink)

The first few years of the 21st century were characterised by a progressive loss of privacy. Two phenomena converged to give rise to the data economy: the realisation that data trails from users interacting with technology could be used to develop personalised advertising, and a concern for security that led authorities to use such personal data for the purposes of intelligence and policing. In contrast to the early days of the data economy and internet surveillance, the last few years (...) have witnessed a rising concern for privacy. As bad data practices have come to light, citizens are starting to understand the real cost of using online digital technologies. Two events stamped 2018 as a landmark year for privacy: the Cambridge Analytica scandal, and the implementation of the European Union’s General Data Protection Regulation (GDPR). The former showed the extent to which personal data has been shared without data subjects’ knowledge and consent and many times for unacceptable purposes, such as swaying elections. The latter inaugurated the beginning of robust data protection regulation in the digital age. Getting privacy right is one of the biggest challenges of this new decade of the 21st century. The past year has shown that there is still much work to be done on privacy to tame the darkest aspects of the data economy. As data scandals continue to emerge, questions abound as to how to interpret and enforce regulation, how to design new and better laws, how to complement regulation with better ethics, and how to find technical solutions to data problems. The aim of the research project Data, Privacy, and the Individual is to contribute to a better understanding of the ethics of privacy and of differential privacy. The outcomes of the project are seven research papers on privacy, a survey, and this final report, which summarises each research paper, and goes on to offer a set of reflections and recommendations to implement best practices regarding privacy. (shrink)

Technological advances are bringing new light to privacy issues and changing the reasons for why privacy is important. These advances have changed not only the kind of personal data that is available to be collected, but also how that personal data can be used by those who have access to it. We are particularly concerned with how information about personal attributes inferred from collected data (such as online behaviour), can be used to tailor messages and services to specific (...) individuals or groups. This kind of ‘personalised targeting’ has the potential to influence individuals’ perceptions, attitudes, and choices in unprecedented ways. In this paper, we argue that because it is becoming easier for companies to use collected data for influence, threats to privacy are increasingly also threats to personal autonomy—an individual’s ability to reflect on and decide freely about their values, actions, and behaviour, and to act on those choices.4 While increasing attention is directed to the ethics of how personal data is collected, we make the case that a new ethics of privacy needs to also think more rigorously about how personal data may be used, and its potential impact on personal autonomy. (shrink)

With the increasing volume of web services in the cloud environment, Collaborative Filtering- based service recommendation has become one of the most effective techniques to alleviate the heavy burden on the service selection decisions of a target user. However, the service recommendation bases, that is, historical service usage data, are often distributed in different cloud platforms. Two challenges are present in such a cross-cloud service recommendation scenario. First, a cloud platform is often not willing to share its data to other (...) cloud platforms due to privacy concerns, which decreases the feasibility of cross-cloud service recommendation severely. Second, the historical service usage data recorded in each cloud platform may update over time, which reduces the recommendation scalability significantly. In view of these two challenges, a novel privacy-preserving and scalable service recommendation approach based on SimHash, named SerRecSimHash, is proposed in this paper. Finally, through a set of experiments deployed on a real distributed service quality dataset WS-DREAM, we validate the feasibility of our proposal in terms of recommendation accuracy and efficiency while guaranteeing privacy-preservation. (shrink)