The Data-Based Self: Self-Quantification and the Data-Driven (Good) Life

• Autores: Natasha D. Schull
• Localización: Social research: An international quarterly of the social sciences, ISSN 0037-783X, Nº. 4, 2019 (Ejemplar dedicado a: Persons without Qualities: Algorithms, AI, and the Reshaping of Ourselves), págs. 909-930
• Idioma: inglés
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• Resumen

  • The capacity to collect, store, and analyze data drawn from everyday physiological, behavioral, and geolocational experience is growing rapidly and spreading to an ever-wider range of social domains. A polarized discussion has unfolded around the threats that data technologies pose to human agency and the asymmetries it introduces between those who track and mine data and those who are tracked. Less explored is how data tracking might also serve as a means and medium for self-understanding and creative transformation. Such an inquiry allows a richer understanding of datafication and its dynamics, and more effective critique of its asymmetries and discontents.