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  1. Trust and privacy in the context of user-generated health data.Brandon Williams, Eliot Storer, Charles Lotterman, Rachel Conrad Bracken, Svetlana Borodina & Kirsten Ostherr - 2017 - Big Data and Society 4 (1).
    This study identifies and explores evolving concepts of trust and privacy in the context of user-generated health data. We define “user-generated health data” as data captured through devices or software and used outside of traditional clinical settings for tracking personal health data. The investigators conducted qualitative research through semistructured interviews with researchers, health technology start-up companies, and members of the general public to inquire why and how they interact with and understand the value of user-generated health data. We found significant (...)
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  • The social imaginaries of data activism.Minna Ruckenstein & Tuukka Lehtiniemi - 2018 - Big Data and Society 6 (1).
    Data activism, promoting new forms of civic and political engagement, has emerged as a response to problematic aspects of datafication that include tensions between data openness and data ownership, and asymmetries in terms of data usage and distribution. In this article, we discuss MyData, a data activism initiative originating in Finland, which aims to shape a more sustainable citizen-centric data economy by means of increasing individuals' control of their personal data. Using data gathered during long-term participant-observation in collaborative projects with (...)
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  • Doing data differently? Developing personal data tactics and strategies amongst young mobile media users.Luci Pangrazio & Neil Selwyn - 2018 - Big Data and Society 5 (1).
    Large amounts of personal data are generated through young people’s engagements with mobile media, with these data increasingly used by advertisers, content developers and other third parties to profile, predict and position individuals. This has prompted growing concerns over the ability of mobile media users to develop informed stances towards how and why their data is being used, i.e. to build ‘conscious’ and/or ‘resistant’ forms of ‘data agency’. This paper explores ways of developing the critical consciousness and resistant practices of (...)
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  • From data politics to the contentious politics of data.Stefania Milan & Davide Beraldo - 2019 - Big Data and Society 6 (2).
    This article approaches the paradigm shift of datafication from the perspective of civil society. Looking at how individuals and groups engage with datafication, it complements the notion of “data politics” by exploring what we call the “contentious politics of data”. By contentious politics of data we indicate the bottom-up, transformative initiatives interfering with and/or hijacking dominant processes of datafication, contesting existing power relations or re-appropriating data practices and infrastructure for purposes distinct from the intended. Said contentious politics of data is (...)
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  • Infosphere, Datafication, and Decision-Making Processes in the AI Era.Andrea Lavazza & Mirko Farina - 2023 - Topoi 42 (3):843-856.
    A recent interpretation of artificial intelligence (AI) (Floridi 2013, 2022) suggests that the implementation of AI demands the investigation of the binding conditions that make it possible to build and integrate artifacts into our lived world. Such artifacts can successfully interact with the world because our environment has been designed to be compatible with intelligent machines (such as robots). As the use of AI becomes ubiquitous in society, possibly leading to the formation of increasingly intelligent bio-technological unions, there will likely (...)
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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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  • Enhancing human agency through redress in Artificial Intelligence Systems.Rosanna Fanni, Valerie Eveline Steinkogler, Giulia Zampedri & Jo Pierson - 2023 - AI and Society 38 (2):537-547.
    Recently, scholars across disciplines raised ethical, legal and social concerns about the notion of human intervention, control, and oversight over Artificial Intelligence (AI) systems. This observation becomes particularly important in the age of ubiquitous computing and the increasing adoption of AI in everyday communication infrastructures. We apply Nicholas Garnham's conceptual perspective on mediation to users who are challenged both individually and societally when interacting with AI-enabled systems. One way to increase user agency are mechanisms to contest faulty or flawed AI (...)
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  • I Choose for Myself, Therefore I Am.Malte Dold & Alexa Stanton - 2021 - Erasmus Journal for Philosophy and Economics 14 (1).
    Behavioral economics and existentialism both present informative perspectives on human choice. We argue in this article that the dialogue between the two approaches can enrich the current debate about the normative implications of behavioral economics. While behavioral economics suggests that our capacity to choose is constrained by cognitive biases and environmental influences, existentialism emphasizes that we can treat ourselves as free and ‘becoming’ beings in spite of the many constraints we face. Acknowledging these two perspectives in the form of a (...)
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