Tools for Achieving Usable Ex Post Transparency: A Survey

Murmann, Patrick; Fischer‐Hübner, Simone

doi:10.1109/access.2017.2765539

Cited by 80 publications

(59 citation statements)

References 30 publications

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“…Control actions, informed by the feedback mechanism, would represent the data processing interventions, informed through ex-ante and ex-post transparency. The informative feedback can provide ex-post transparency to the data subjects, while predictive feedback (or somewhat more peculiar, a feedforward loop) can deliver ex-ante transparency (in line with the discussions on transparency-enhancing technologies [21]). In our previous work (Shulman and Meyer [24]), we presented the conceptual control theoretic analysis of privacy, expressed through personal information disclosure.…”

Section: Introductionmentioning

confidence: 57%

“…A major challenge in this approach is the question whether and how control can be achieved. This is a crucial point in the critique raised by alternative approaches to privacy, such as the theory of "contextual integrity", originating in Nissenbaum (2004) [22]. "Privacy as control" arises in jurisprudence and ethical philosophy, and, with the technological developments, is more relevant than ever.…”

Section: Introductionmentioning

confidence: 99%

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Order of Control and Perceived Control over Personal Information

Shulman

Ngo

Meyer

2020

Privacy and Identity Management. Data for Better Living: AI and Privacy

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Focusing on personal information disclosure, we apply control theory and the notion of the Order of Control to study people's understanding of the implications of information disclosure and their tendency to consent to disclosure. We analyzed the relevant literature and conducted a preliminary online study (N = 220) to explore the relationship between the Order of Control and perceived control over personal information. Our analysis of existing research suggests that the notion of the Order of Control can help us understand people's decisions regarding the control over their personal information. We discuss limitations and future directions for research regarding the application of the idea of the Order of Control to online privacy.

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Section: Introductionmentioning

confidence: 57%

Section: Introductionmentioning

confidence: 99%

Order of Control and Perceived Control over Personal Information

Shulman

Ngo

Meyer

2020

Privacy and Identity Management. Data for Better Living: AI and Privacy

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“…The concept of privacy transparency, in particular ex-post and ex-ante transparency, are presented in detail in [25]. We derived our combined ex-ante and ex-post approach from the ideas discussed in this paper.…”

Section: Related Workmentioning

confidence: 99%

“…To illustrate the method, we show data from a case study with data captured from a set of ten popular fitness apps. Our results enable both ex-ante and ex-post transparency in the perspective presented in [25], in order to combine the advantages of both concepts, which allows the incorporation of factual app behavior in app choice decisions and app privacy impact evaluation.…”

mentioning

confidence: 92%

A Multilateral Privacy Impact Analysis Method for Android Apps

Hatamian

Momen

Fritsch

et al. 2019

Privacy Technologies and Policy

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Smartphone apps have the power to monitor most of people's private lives. Apps can permeate private spaces, access and map social relationships, monitor whereabouts and chart people's activities in digital and/or real world. We are therefore interested in how much information a particular app can and intends to retrieve in a smartphone. Privacy-friendliness of smartphone apps is typically measured based on single-source analyses, which in turn, does not provide a comprehensive measurement regarding the actual privacy risks of apps. This paper presents a multi-source method for privacy analysis and data extraction transparency of Android apps. We describe how we generate several data sets derived from privacy policies, app manifestos, user reviews and actual app profiling at run time. To evaluate our method, we present results from a case study carried out on ten popular fitness and exercise apps. Our results revealed interesting differences concerning the potential privacy impact of apps, with some of the apps in the test set violating critical privacy principles. The result of the case study shows large differences that can help make relevant app choices.

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“…In a paper concerned with the state of transparency enhancing technologies Murmann and Fischer-Hübner [35] provide a categorisation and assessment of existing transparency enhancing technologies, which greatly rely on feedback mechanisms. The authors note that without a feedback mechanism, users may be unable to make rational decisions about the use of transparency enhancing technologies and exercise control over them.…”

Section: Control Feedback and Privacy Researchmentioning

confidence: 99%

Is Privacy Controllable?

Shulman

Meyer

2019

Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data

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One of the major views of privacy associates privacy with the control over information. This gives rise to the question how controllable privacy actually is. In this paper, we adapt certain formal methods of control theory and investigate the implications of a control theoretic analysis of privacy. We look at how control and feedback mechanisms have been studied in the privacy literature. Relying on the control theoretic framework, we develop a simplistic conceptual control model of privacy, formulate privacy controllability issues and suggest directions for possible research.

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Tools for Achieving Usable Ex Post Transparency: A Survey

Cited by 80 publications

References 30 publications

Order of Control and Perceived Control over Personal Information

Order of Control and Perceived Control over Personal Information

A Multilateral Privacy Impact Analysis Method for Android Apps

Is Privacy Controllable?

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