Contextual Integrity through the Lens of Computer Science

Benthall, Sebastian; Gürses, Seda; Nissenbaum, Helen

doi:10.1561/9781680833850

Cited by 18 publications

(23 citation statements)

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“…The idea of "appropriateness" in CI highlights that privacy is a contested problem [40] and that our understanding of privacy and norms associated with it are continuously changing. Because of this, privacy as contextual integrity has seen wide adoption in computer science [13] and HCI research [10] and has also been used in the context of health data [43,47]. Moreover, it was recently suggested as an appropriate research framework to evaluate potential long-term risks of COVID-19-related surveillance technologies [64].…”

Section: Contextual Integritymentioning

confidence: 99%

Apps Against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three Continents

Utz

Becker

Schnitzler

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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The COVID-19 pandemic has fueled the development of smartphone applications to assist disease management. Many "corona apps" require widespread adoption to be efective, which has sparked public debates about the privacy, security, and societal implications of government-backed health applications. We conducted a representative online study in Germany (n = 1003), the US (n = 1003), and China (n = 1019) to investigate user acceptance of corona apps, using a vignette design based on the contextual integrity framework. We explored apps for contact tracing, symptom checks, quarantine enforcement, health certifcates, and mere information. Our results provide insights into data processing practices that foster adoption and reveal signifcant diferences between countries, with user acceptance being highest in China and lowest in the US. Chinese participants prefer the collection of personalized data, while German and US participants favor anonymity. Across countries, contact tracing is viewed more positively than quarantine enforcement, and technical malfunctions negatively impact user acceptance. CCS CONCEPTS• Security and privacy → Social aspects of security and privacy; Domain-specifc security and privacy architectures; • Humancentered computing → Empirical studies in HCI .

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Section: Contextual Integritymentioning

confidence: 99%

Apps Against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three Continents

Utz

Becker

Schnitzler

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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“…Even as CI has been used by computer scientists (in contexts within and outside privacy engineering), a recent literature review finds that they have largely not engaged with the normative elements of CI (Benthall, Gu ¨rses, and Nissenbaum 2017). This finding holds true even for HCI researchers (Badillo-Urquiola, Page, and Wisniewski 2018).…”

Section: Engaging With Underlying Technical Processesmentioning

confidence: 99%

“…As a computer scientist, my objective of mapping these research directions is twofold: one, to frame richer, more politically and normatively grounded questions for computer scientists to engage with. Even as CI has found expression in privacy scholarship within the discipline of computer science, including HCI and software engineering, existing literature review shows (Benthall, Gu ¨rses, and Nissenbaum 2017; Badillo-Urquiola, Page, and Wisniewski 2018) that computer scientists have largely not engaged with the normative aspects of CI. Benthall et al (Benthall, Gu ¨rses, and Nissenbaum 2017) and Badillo-Urquiloa et al (Badillo-Urquiola, Page, and Wisniewski 2018), with the latter being focused on HCI researchers, call upon computer scientists to engage with the normative elements of CI.…”

mentioning

confidence: 99%

“…Even as CI has found expression in privacy scholarship within the discipline of computer science, including HCI and software engineering, existing literature review shows (Benthall, Gu ¨rses, and Nissenbaum 2017; Badillo-Urquiola, Page, and Wisniewski 2018) that computer scientists have largely not engaged with the normative aspects of CI. Benthall et al (Benthall, Gu ¨rses, and Nissenbaum 2017) and Badillo-Urquiloa et al (Badillo-Urquiola, Page, and Wisniewski 2018), with the latter being focused on HCI researchers, call upon computer scientists to engage with the normative elements of CI. In this chapter, I reinforce this calling by highlighting the normative valence of the governance of informational norms, and outline a set of research directions that such orientations open up for privacy researchers who locate themselves in computer science.…”

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confidence: 99%

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Designing for the Privacy Commons

Mir¹

2021

Governing Privacy in Knowledge Commons

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This chapter frames privacy enforcement processes through the lens of governance and situated design of sociotechnical systems. It considers the challenges in formulating and designing privacy as commons (as per the Governing Knowledge Commons framework (Sanfilippo, Frischmann, and Strandburg 2018)) when privacy ultimately gets enacted (or not) in complex sociotechnical systems.Privacy has traditionally (in computing, legal, economic, and other scholarly communities) been conceptualized in an individualistic framing, often as a private good that is traded off against other goods. In this framing, meaningful decision-making processes about one's data are available to oneself, and any resulting decisions are assumed to impact only one's own self. While social scientists have articulated and studied social conceptualizations of privacy (Petronio and Altman

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“…Still Nissenbaum's approach has been very influential, not the least because it has also been designed with deployment in mind. With its rather formal treatment of norms and contexts it has led to productive engagement and implementation in computer science (Benthall, Gürses, and Nissenbaum, 2017).…”

Section: Privacy In Digital Society: Theoretical Innovationsmentioning

confidence: 99%

Privacy

Matzner¹,

Ochs²

2019

Internet Policy Review

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This contribution provides a short introduction into the conceptual and socio-technical development of privacy. It identifies central issues that inform and structure current debates as well as transformations of privacy spurred by digital technology. In particular, it highlights central ambivalences of privacy between protection and de-politicization and the relation of individual and social perspectives. A second section connects these issues to the influential texts and discussions on digital privacy. In particular, we will demonstrate privacy in digital societies is to be conceived in a novel way, since contemporary socio-technical conditions unsettle central assumptions of established theories: forms of perceptions, social structure or individual rights.Thus, a final third paragraph summarises theoretical innovations triggered by this situationespecially research from computer science to the social sciences and law and philosophy highlighting the requirement to take groups, social relations and broader socio-cultural contexts into account.

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Contextual Integrity through the Lens of Computer Science

Cited by 18 publications

References 0 publications

Apps Against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three Continents

Apps Against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three Continents

Designing for the Privacy Commons

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