Format:
1 Online-Ressource
ISBN:
9780472902637
,
0472902636
Series Statement:
Digital culture books
Content:
On a near-daily basis, data is being used to narrate our lives. Categorizing algorithms draw from amassed personal data to assign narrative destinies to individuals at crucial junctures, simultaneously predicting and shaping the paths of our lives. Data is commonly assumed to bring us closer to objectivity, but the narrative paths these algorithms assign seem, more often than not, to replicate biases about who an individual is and could become. While the social effects of such algorithmic logics seem new and newly urgent to consider, Collecting Lives looks to the late nineteenth and early twentieth century US to provide an instructive prehistory to the underlying question of the relationship between data, life, and narrative. Rodrigues contextualizes the application of data collection to human selfhood in the late nineteenth and early twentieth century US in order to uncover a modernist aesthetic of data that offers an alternative to the algorithmic logic pervading our sense of data's revelatory potential. Examining the work of W. E. B. Du Bois, Henry Adams, Gertrude Stein, and Ida B. Wells-Barnett, Rodrigues asks how each of these authors draw from their work in sociology, history, psychology, and journalism to formulate a critical data aesthetic as they attempt to answer questions of identity around race, gender, and nation both in their research and their life writing. These data-driven modernists not only tell different life stories with data, they tell life stories differently because of data
Note:
Includes bibliographical references and index
Additional Edition:
ISBN 9780472038909
Additional Edition:
Erscheint auch als Druck-Ausgabe Rodrigues, Elizabeth Collecting lives Ann Arbor : University of Michigan Press, 2022 ISBN 9780472038909
Language:
English
Keywords:
Electronic books.
;
Electronic books.
URL:
https://doi.org/10.3998/mpub.11618648
URL:
https://muse.jhu.edu/book/101124/
URL:
View this content on Open Research Library.
URL:
Full text available: 2022.
(Available in Books at JSTOR: Open Access.)
URL:
Full text available: 2022.
(Available in Project Muse Open Access ebooks.)
URL:
Full text available: 2022.
(Available in OAPEN (Open Access Publishing in European Networks).)
URL:
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