Abstract
This article reimagines the quantified self within the context of Black feminist technologies. Bringing computation and autoethnographic methods together using a methodology I call computational digital autoethnography, I harvest my social media data to create a corpus for analysis. I apply topic modeling to these data to uncover themes that are connected with broader societal issues affecting African American women. Applying a computational autoethnographic approach to a researcher’s own digitized data allows for yet another dimension of mixed-methods research. This radical intervention has the potential to transform the social sciences by bringing together two seemingly divergent methodological approaches in service to Black feminist ways of knowing.
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