PhD Student, Division of Computational and Data Sciences
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Messi (Hojun) Lee is broadly interested in biased representations of racial/ethnic groups in language. As an interdisciplinary scholar from the Division of Computational and Data Sciences, he uses large language models like word embeddings to examine common stereotypes of racial/ethnic groups in the US that are embedded in the collective language of cultural products that people produce and consume on a daily basis. Messi aims to apply large language models to assess stereotypes of minority groups from smaller collections of text, like personal accounts of racial prejudice and short characterizations of groups.