TY  - BOOK
AU  - Rodrigues,Elizabeth
ED  - Michigan Publishing (University of Michigan),
ED  - Project Muse.
TI  - Collecting Lives : : Critical Data Narrative as Modernist Aesthetic in Early Twentieth-Century U.S. Literatures / 
T2  - Digital culture books
SN  - 9780472902637
PY  - 2022///
CY  - Ann Arbor
PB  - University of Michigan Press
KW  - Biography
KW  - Research
KW  - Methodology
KW  - fast
KW  - Data processing
KW  - American literature
KW  - Litterature americaine
KW  - 20e siecle
KW  - Recherche
KW  - Methodologie
KW  - Modernism (Literature)
KW  - United States
KW  - 20th century
KW  - Aesthetics
KW  - Electronic books.
KW  - local
N1  - Open Access
N2  - 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
UR  - https://muse.jhu.edu/book/101124/
ER  -