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Alina Arseniev-Koehler is an Assistant Professor in Sociology at Purdue University. She specializes in computational cultural sociology, with substantive interests in language, health, and social categories. Alina seeks to clarify core concepts and debates in cultural meaning within sociology. Her empirical work focuses on the meanings linked to inequality in health, the moral meanings attached to body weight, and the stigmatizing meanings associated with disease and gender stereotypes. To investigate these topics, Alina employs computational methods in machine learning, particularly computational text analysis. She addresses methodological questions regarding how scientists measure meanings encoded in text data from news articles and social media posts. Her research demonstrates that computational text analysis is closely related to advancements in the theoretical understanding of meanings.
GRE is not required.