Critical Practice in Text Data Mining

Critical Practice in Text Data Mining

Text data mining (TDM) is the computational and statistical analysis of large corpora of texts. As a field that is necessarily allied closely with the computer and information sciences, digital humanities, and text mining in particular, are implicated if not complicit in the problems of bias; representation in terms of gender, race, and class; labor ethics; and other problems that are endemic in the tech industries. This 2020-2021 Humanities Research Institute (HRI) research cluster examined how text data mining, as a disciplinarily diverse field, has manifested these problems, and how the University of Illinois digital scholarship community can work together to address them, moving toward a critical practice of text data mining that is ethical, just, and inclusive.
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