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David Smith
Khoury College of Computer Sciences
research interests
Efficient inference for machine learning models with complex latent structure
Modeling natural language structures, such as morphology, syntax, and semantics
Modeling the mutations in texts as they propagate through social networks and in language across space and time
Interactive information retrieval and machine learning for expert users
about
David Smith’s research focuses on modeling natural language structures and tracking mutations in texts across space and time through social media. He is also a member of the NULab for Texts, Maps, and Networks, which combines computer science and humanities to track cultural phenomena through computer science.
related work
Broken, Buried, or Missing: Anatomies of Failure (and Success) of Social Media Child Safety Features
June 29, 2026
Lexie Matsumoto, Arturo Béjar, Abdulraheem Arar, Damon McCoy, Laura Edelson
Measuring Agency-Amplifying AI Literacy: The HuskyAI Coaching Platform for Workforce Readiness
July 1, 2026
John P. Wihbey, Yash Phalle, Shashank Kadiyala, Caleb Okereke
Working Paper
How Americans Spend their Time Online
June 8, 2026
David Lazer, Burak Ozturan, Christo Wilson, David Choffnes, Cassidy Waldrip, Hsiu-Chi Lu, John Wihbey
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