Collecting Lives : Critical Data Narrative As Modernist Aesthetic in Early Twentieth-Century U.S. Literatures

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 obje...

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Autor principal: Elizabeth Rodrigues
Formato: Libro
Publicado: University of Michigan Press 2022
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Acceso en línea:Ver este registro en EBSCOhost
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        Modernism (Literature)--United States--20th century--Aesthetics
        American literature--20th century--Research--Methodology
        American literature--20th century--Data processing
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          LITERARY CRITICISM / Modern / 20th Century
          Modernism (Literature)--United States--20th century--Aesthetics
          American literature--20th century--Research--Methodology
          American literature--20th century--Data processing
          Social sciences
      ab: 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.
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