This research would apply frontier natural language processing and other text analysis techniques to understand the hidden messages in common textual data – books, websites, and newsmedia, for example – about race, gender, and other salient societal identities. The fellow will be part of an interdisciplinary team of social science researchers looking to measure these messages and understand how exposure to them shapes beliefs, actions, and educational outcomes.

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