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  1. Truth and its political forms: an explorative cartography.Gerald Posselt & Sergej Seitz - 2024 - Contemporary Political Theory 23 (4):569-588.
    For some years now, the significance of truth for politics has been intensely debated under the buzzword “post-truth.” However, this cannot hide the fact that political theory and philosophy have systematically neglected the relationship between truth and politics throughout their history. This article intends to remedy this desideratum by differentiating the various modes in which truth is referred to and invoked in the political field. To this end, the main strands of the post-truth debate are reconstructed and their shortcomings are (...)
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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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  • How to protect privacy in a datafied society? A presentation of multiple legal and conceptual approaches.Oskar J. Gstrein & Anne Beaulieu - 2022 - Philosophy and Technology 35 (1):1-38.
    The United Nations confirmed that privacy remains a human right in the digital age, but our daily digital experiences and seemingly ever-increasing amounts of data suggest that privacy is a mundane, distributed and technologically mediated concept. This article explores privacy by mapping out different legal and conceptual approaches to privacy protection in the context of datafication. It provides an essential starting point to explore the entwinement of technological, ethical and regulatory dynamics. It clarifies why each of the presented approaches emphasises (...)
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  • Conceptualizations of Big Data and their epistemological claims in healthcare: A discourse analysis.Antoinette de Bont, Rik Wehrens & Marthe Stevens - 2018 - Big Data and Society 5 (2).
    In recent years, the healthcare field welcomed an emerging field of practices captured under the umbrella term ‘Big Data’. This term is surrounded with positive rhetoric and promises about the ability to analyse real-world data quickly and comprehensively. Such rhetoric is highly consequential in shaping debates on Big Data. While the fields of Science and Technology Studies and Critical Data Studies have been instrumental in elaborating the neglected and problematic dimensions of Big Data, it remains an open question how and (...)
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  • Grassroots resource mobilization through counter-data action.Carl DiSalvo & Amanda Meng - 2018 - Big Data and Society 5 (2).
    In this paper, we document the counter-data action and data activism of a grassroots affordable housing advocacy group in Atlanta. Our observation and insight into these data activities and strategies are achieved through ethnographic and engaged research and participatory design. We find that counter-data action through community-collected data is rooted in a legacy of Atlanta’s black activism and black scholarship; that this data activism enabled resource mobilization and critical conscious making; and that design and media production are essential post counter-data (...)
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  • Conceptual frameworks for social and cultural Big Data analytics: Answering the epistemological challenge.Lucy Resnyansky - 2019 - Big Data and Society 6 (1).
    This paper aims to contribute to the development of tools to support an analysis of Big Data as manifestations of social processes and human behaviour. Such a task demands both an understanding of the epistemological challenge posed by the Big Data phenomenon and a critical assessment of the offers and promises coming from the area of Big Data analytics. This paper draws upon the critical social and data scientists’ view on Big Data as an epistemological challenge that stems not only (...)
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  • Making data science systems work.Phoebe Sengers & Samir Passi - 2020 - Big Data and Society 7 (2).
    How are data science systems made to work? It may seem that whether a system works is a function of its technical design, but it is also accomplished through ongoing forms of discretionary work by many actors. Based on six months of ethnographic fieldwork with a corporate data science team, we describe how actors involved in a corporate project negotiated what work the system should do, how it should work, and how to assess whether it works. These negotiations laid the (...)
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  • Engaging with ethics in Internet of Things: Imaginaries in the social milieu of technology developers.Selena Nemorin, Alison Powell & Funda Ustek-Spilda - 2019 - Big Data and Society 6 (2).
    Discussions about ethics of Big Data often focus on the ethics of data processing: collecting, storing, handling, analysing and sharing data. Data-based systems, however, do not come from nowhere. They are designed and brought into being within social spaces – or social milieu. This paper connects philosophical considerations of individual and collective capacity to enact practical reason to the influence of social spaces. Building a deeper engagement with the social imaginaries of technology development through analysis of two years of fieldwork (...)
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