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Collecting Lives

On a near-daily basis, data is being used to narrate our lives. Categorizing algorithms drawn 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 U.S. 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 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.

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Detail Information
Series Title
-
Call Number
critical data studies
Publisher
http://www.press.umich.edu/ : University of Michigan Press.,
Collation
oer.library.unej.ac.id
Language
English
ISBN/ISSN
9780472038909
Classification
critical data studies
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
critical data studies
critical digital studies
Specific Detail Info
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Statement of Responsibility
Other Information
Cataloger
-
Source
https://directory.doabooks.org/handle/20.500.12854/81858
Validator
Suwardi
Digital Object Identifier (DOI)
10.3998/mpub.11618648
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
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