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  1. Values Levers: Building Ethics into Design.Katie Shilton - 2013 - Science, Technology, and Human Values 38 (3):374-97.
    As information systems transform our world, computer scientists design affordances that influence the uses and impacts of these technological objects. This article describes how the practices of design affect the social values materialized in emerging technologies, and explores how design practices can encourage ethical reflection and action. The article presents an ethnography of a laboratory that engineered software for mobile phones to track users’ locations, habits, and behaviors. This technical work raised a number of ethical challenges, particularly around questions of (...)
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  • Algorithms as culture: Some tactics for the ethnography of algorithmic systems.Nick Seaver - 2017 - Big Data and Society 4 (2).
    This article responds to recent debates in critical algorithm studies about the significance of the term “algorithm.” Where some have suggested that critical scholars should align their use of the term with its common definition in professional computer science, I argue that we should instead approach algorithms as “multiples”—unstable objects that are enacted through the varied practices that people use to engage with them, including the practices of “outsider” researchers. This approach builds on the work of Laura Devendorf, Elizabeth Goodman, (...)
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  • When data is capital: Datafication, accumulation, and extraction.Jathan Sadowski - 2019 - Big Data and Society 6 (1).
    The collection and circulation of data is now a central element of increasingly more sectors of contemporary capitalism. This article analyses data as a form of capital that is distinct from, but has its roots in, economic capital. Data collection is driven by the perpetual cycle of capital accumulation, which in turn drives capital to construct and rely upon a universe in which everything is made of data. The imperative to capture all data, from all sources, by any means possible (...)
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  • Critical data studies: An introduction.Federica Russo & Andrew Iliadis - 2016 - Big Data and Society 3 (2).
    Critical Data Studies explore the unique cultural, ethical, and critical challenges posed by Big Data. Rather than treat Big Data as only scientifically empirical and therefore largely neutral phenomena, CDS advocates the view that Big Data should be seen as always-already constituted within wider data assemblages. Assemblages is a concept that helps capture the multitude of ways that already-composed data structures inflect and interact with society, its organization and functioning, and the resulting impact on individuals’ daily lives. CDS questions the (...)
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  • Datafication and data fiction: Narrating data and narrating with data.Edgar Gómez Cruz & Paul Dourish - 2018 - Big Data and Society 5 (2).
    Data do not speak for themselves. Data must be narrated—put to work in particular contexts, sunk into narratives that give them shape and meaning, and mobilized as part of broader processes of interpretation and meaning-making. We examine these processes through the lens of ethnographic practice and, in particular, ethnography’s attention to narrative processes. We draw on a particular case in which digital data must be animated and narrated by different groups in order to examine broader questions of how we might (...)
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  • Changing the Subject: Neoliberalism and Accountability in Public Education.John Ambrosio - 2013 - Educational Studies: A Jrnl of the American Educ. Studies Assoc 49 (4):316-333.
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  • Disidentifications: Queers of Color and the Performance of Politics.José Esteban Muñoz - 1999 - Minneapolis: University of Minnesota.
    An important new perspective on the ways outsiders negotiate mainstream culture. -/- There is more to identity than identifying with one’s culture or standing solidly against it. José Esteban Muñoz looks at how those outside the racial and sexual mainstream negotiate majority culture—not by aligning themselves with or against exclusionary works but rather by transforming these works for their own cultural purposes. Muñoz calls this process “disidentification,” and through a study of its workings, he develops a new perspective on minority (...)
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  • Sorting Things out: Classification and Its Consequences.Geoffrey C. Bowker & Susan Leigh Star - 2001 - Journal of the History of Biology 34 (1):212-214.
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