Can text mining and machine learning
identify racist language in legal documents?
Civil Rights Demonstrators in Front of the Long Meadow Dairy Store, February 1960, in the Roland Giduz Photographic Collection #P0033, North Carolina Collection Photographic Archives, The Wilson Library, University of North Carolina at Chapel Hill.
Find educational resources for the On The Books project including curriculum, reading guides and more.
Learn about research methods and findings for the On The Books project. Researchers interested in text analysis can access our Python tutorials through Jupyter Notebooks.
On the Books: Jim Crow and Algorithms of Resistance is a text mining project with the goal of discovering Jim Crow and racially-based legislation signed into law in North Carolina between Reconstruction and the Civil Rights Movement (1866-1967).
This website lists and contextualizes North Carolina segregation laws for educators and researchers interested in Southern and African American History during the Jim Crow era.
This work has been funded by the Andrew W. Mellon Foundation as part of the first cohort for Collections as Data: Part to Whole, the ARL Venture Fund, and an IDEA Action Grant as part of the Reckoning Initiative at the University Libraries.