2016
DOI: 10.1080/1369118x.2016.1203975
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Keeping data alive: talking DTC genetic testing

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Cited by 29 publications
(23 citation statements)
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References 32 publications
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“…There is a growing academic interest in anxieties about data security, surveillance and power (e.g. Barassi, 2017;Dencik et al, 2017) and in how people use and experience self-tracking technologies (Lupton, 2016;Fors, 2017a, 2017b;Ruckenstein, 2016). This literature provides insights into how personal data is created, and used by individuals and organisations.…”
Section: Introductionmentioning
confidence: 99%
“…There is a growing academic interest in anxieties about data security, surveillance and power (e.g. Barassi, 2017;Dencik et al, 2017) and in how people use and experience self-tracking technologies (Lupton, 2016;Fors, 2017a, 2017b;Ruckenstein, 2016). This literature provides insights into how personal data is created, and used by individuals and organisations.…”
Section: Introductionmentioning
confidence: 99%
“…Research on 23andMe consumers has observed that they were ‘savvy’ about the limitations of the tests (McGowan et al . ) or sceptical of the results (Ruckenstein ), although these studies did not explore how users engaged with the platform. We recently observed that ordinary or casual users of MyFitnessPal calorie counting app did not use its advanced features (retrospective data, forums) and used it temporarily to lose weight (Didžiokait≐ et al .…”
Section: Discussionmentioning
confidence: 99%
“…Given the increasing dependency in everyday life on data-driven applications, a better understanding of the consequences of data brokenness in the fields ranging from finance and insurance to health and education is called for (Ruckenstein and Schu¨ll, 2017). Explorations that demonstrate who gives data life, and how it is kept alive and for what purposes, offer insights into data practices, paving the way for further exploration of data work and everyday data relations (Lupton, 2016;Ruckenstein, 2017). In the case of Suomi24 data, the data breakages suggest that we need to actively question data production and the diverse ways in which data is adapted for different ends by practitioners.…”
Section: Repairing Social Media Datamentioning
confidence: 99%