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oapen-20.500.12657-546712022-05-24T03:10:06Z Collecting Lives Rodrigues, Elizabeth data, critical data studies, critical digital studies, critical information studies, information studies, information science, modernism, multiethnic modernism, modernist studies, US modernism, multiethnic US literature, US literature, American literature, African American literature, life writing, autobiography, narrative, selfhood, W.E.B Du Bois, Henry Adams, Gertrude Stein, Ida B. Wells, Ida B. Wells-Barnett bic Book Industry Communication::D Literature & literary studies::DS Literature: history & criticism bic Book Industry Communication::D Literature & literary studies::DS Literature: history & criticism::DSB Literary studies: general::DSBH Literary studies: from c 1900 - 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. 2022-05-23T12:35:39Z 2022-05-23T12:35:39Z 2022 book 9780472038909 https://library.oapen.org/handle/20.500.12657/54671 eng Digital Culture Books application/pdf Attribution-NonCommercial 4.0 International 9780472902637.pdf https://www.bibliovault.org/thumbs/978-0-472-03890-9-highres.jpg; https://www.bibliovault.org/thumbs/978-0-472-03890-9-frontcover.jpg; https://www.bibliovault.org/thumbs/978-0-472-03890-9-thumb.jpg University of Michigan Press 10.3998/mpub.11618648 10.3998/mpub.11618648 e07ce9b5-7a46-4096-8f0c-bc1920e3d889 9780472038909 238 open access
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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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