The trouble with big data : how datafication displaces cultural practices / Jennifer Edmond, Nicola Horsley, Jörg Lehmann and Mike Priddy
LivresLangue: anglais.Éditeur : London, New York, NY : Bloomsbury Academic, 2022 • C 2022Description : 1 vol. (viii-182 p.) :
ill. en noir, graph., couv. ill. ;
24 cmISBN: 978-1-350-23962-3; 978-1-350-23966-1; 1-350-23962-3.Collection : Bloomsbury studies in digital cultures, Anthony Mandal, Jenny Kidd (series editors), 2022, London, Bloomsbury AcademicRésumé : The trouble with big data explores the myriad challenges that society faces with big data trought the lens of culture, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on aeras such as data and language, data and sense-making, data and power, data and invisibility, and big data aggregation, this book examines the social impact of data-driven scientific practices. The authors demonstrate that humanities research - focussing on cultural rather than social, political or economic frames of reference for viewing technology - resists mass datafication for a reason and that those very reasons are invaluable for the critical observation of big data research and innovation. [4e de couverture]Sujet - Nom commun: Données volumineuses | Sciences humaines numériques | Données volumineuses -- Aspect social | Données massives | Humanités numériques | Sciences humaines, Recherche 
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| Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
| Prêt normal | Enssib | Papier | Pôle Information numérique et médias | 006 ORG t (Browse shelf(Opens below)) | Available | 9200742 |
Open access version available
Notes bibliogr. en fin de chapitres. Index
The trouble with big data explores the myriad challenges that society faces with big data trought the lens of culture, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on aeras such as data and language, data and sense-making, data and power, data and invisibility, and big data aggregation, this book examines the social impact of data-driven scientific practices. The authors demonstrate that humanities research - focussing on cultural rather than social, political or economic frames of reference for viewing technology - resists mass datafication for a reason and that those very reasons are invaluable for the critical observation of big data research and innovation. 4e de couverture
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