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  1. Interpretation as luxury: Heart patients living with data doubt, hope, and anxiety.Tariq Osman Andersen, Henriette Langstrup & Stine Lomborg - 2020 - Big Data and Society 7 (1).
    Personal health technologies such as apps and wearables that generate health and behavior data close to the individual patient are envisioned to enable personalized healthcare - and self-care. And yet, they are consumer devices. Proponents of these devices presuppose that measuring will be helpful, and that data will be meaningful. However, a growing body of research suggests that self-tracking data does not necessarily make sense to users. Drawing together data studies and digital health research, we aim to further research on (...)
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  • “I spend more time on the ecosystem than on the disease”: caring for the communicative loop with everyday ADM technology through maintenance and modification work.Sne Scott Hansen & Henriette Langstrup - forthcoming - AI and Society:1-13.
    Automated decision-making (ADM) systems can be worn in and on the body for various purposes, such as for tracking and managing chronic conditions. One case in point is do-it-yourself open-source artificial pancreas systems, through which users engage in what is referred to as “looping”; combining continuous glucose monitors and insulin pumps placed on the body with digital communication technologies to develop an ADM system for personal diabetes management. The idea behind these personalized systems is to delegate decision-making regarding insulin to (...)
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  • Low on trust, high on use datafied media, trust and everyday life.Jannie Hartley-Møller & David Mathieu - 2021 - Big Data and Society 8 (2).
    This article explores yet another paradox – aside from the privacy paradox – related to the datafication of media: citizens trust least the media they use most It investigates the role that daily life plays in shaping the trust that citizens place in datafied media. The study reveals five sets of heuristics guiding the trust assessments of citizens: characteristics of media organisations, old media standards, context of use and purpose, experiences of datafication and understandings of datafication. The article discusses the (...)
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  • ‘It depends on your threat model’: the anticipatory dimensions of resistance to data-driven surveillance.Becky Kazansky - 2021 - Big Data and Society 8 (1).
    While many forms of data-driven surveillance are now a ‘fact’ of contemporary life amidst datafication, obtaining concrete knowledge of how different institutions exploit data presents an ongoing challenge, requiring the expertise and power to untangle increasingly complex and opaque technological and institutional arrangements. The how and why of potential surveillance are thus wrapped in a form of continuously produced uncertainty. How then, do affected groups and individuals determine how to counter the threats and harms of surveillance? Responding to an interdisciplinary (...)
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