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  1. Data-bodies and data activism: Presencing women in digital heritage research.Terrie Lynn Thompson - 2020 - Big Data and Society 7 (2).
    As heritage-as-the-already-occurred folds into heritage-in-the-making practices, temporal and spatial fluidity is made more complex by digital mediation and particularly by Big Data. Such liveliness evokes ontological, epistemological and methodological challenges. Drawing on more-than-human theorizing, this article reframes the notion of data-bodies to advance data activist-oriented research in heritage. Focused primarily on women, it examines how their distributed agency and voice with respect to data practices and the makings of heritage could be amplified. I describe three methodological directions, influenced by feminist (...)
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  • Folk theories of algorithmic recommendations on Spotify: Enacting data assemblages in the global South.Mónica Sancho, Ricardo Solís, Andrés Segura-Castillo & Ignacio Siles - 2020 - Big Data and Society 7 (1).
    This paper examines folk theories of algorithmic recommendations on Spotify in order to make visible the cultural specificities of data assemblages in the global South. The study was conducted in Costa Rica and draws on triangulated data from 30 interviews, 4 focus groups with 22 users, and the study of “rich pictures” made by individuals to graphically represent their understanding of algorithmic recommendations. We found two main folk theories: one that personifies Spotify and another one that envisions it as a (...)
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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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  • 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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  • Everyday curation? Attending to data, records and record keeping in the practices of self-monitoring.Rosalind Williams, Flis Henwood, Catherine Will & Kate Weiner - 2020 - Big Data and Society 7 (1).
    This paper is concerned with everyday data practices, considering how people record data produced through self-monitoring. The analysis unpacks the relationships between taking a measure, and making and reviewing records. The paper is based on an interview study with people who monitor their blood pressure and/or body mass index/weight. Animated by discussions of ‘data power’ which are, in part, predicated on the flow and aggregation of data, we aim to extend important work concerning the everyday constitution of digital data. In (...)
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  • 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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  • Critical companionship: Some sensibilities for studying the lived experience of data subjects.Ranjit Singh & Malte Ziewitz - 2021 - Big Data and Society 8 (2).
    What are the challenges of turning data subjects into research participants—and how can we approach this task responsibly? In this paper, we develop a methodology for studying the lived experiences of people who are subject to automated scoring systems. Unlike most media technologies, automated scoring systems are designed to track and rate specific qualities of people without their active participation. Credit scoring, risk assessments, and predictive policing all operate obliquely in the background long before they come to matter. In doing (...)
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  • The Nordic data imaginary.Heta Tarkkala, Karoliina Snell & Aaro Tupasela - 2020 - Big Data and Society 7 (1).
    The Nordic countries aim to have a unique place within the European and global health data economy. They have extensive nationally maintained and centralized health data records, as well as numerous biobanks where data from individuals can be connected based on personal identification numbers. Much of this phenomenon can be attributed to the emergence and development of the Nordic welfare state, where Nordic countries sought to systematically collect large amounts of population data to guide decision making and improve the health (...)
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  • In search of the citizen in the datafication of public administration.Lisa Reutter & Heather Broomfield - 2022 - Big Data and Society 9 (1).
    The administrative reform of the datafied public administration places great emphasis on the classification, control, and prediction of citizen behavior and therefore has the potential to significantly impact citizen–state relations. There is a growing body of literature on data-oriented activism which aims to resist and counteract existing harmful data practices. However, little is known about the processes, policies, and political-economic structures that make datafication possible. There is a distinct research gap on situated and context-specific empirical research, which critically interrogates the (...)
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  • Public perceptions of good data management: Findings from a UK-based survey.Rhianne Jones, Robin Steedman, Helen Kennedy & Todd Hartman - 2020 - Big Data and Society 7 (1).
    Low levels of public trust in data practices have led to growing calls for changes to data-driven systems, and in the EU, the General Data Protection Regulation provides a legal motivation for such changes. Data management is a vital component of data-driven systems, but what constitutes ‘good’ data management is not straightforward. Academic attention is turning to the question of what ‘good data’ might look like more generally, but public views are absent from these debates. This paper addresses this gap, (...)
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