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University of Michigan School of Information

A headshot of Song Mi Lee

Song Mi Lee


I am a fourth-year Ph.D. candidate at UMSI, advised by Dr. Cliff Lampe. I conduct surveys and experiments to understand the psychosocial mechanisms that shape people's information processing, specifically concerning (1) the use of generative AI and (2) online harassment. I develop theoretically grounded interface cues and nudges that can effectively influence information behavior.



Areas of interest

information literacy, human-AI collaboration, human-computer interaction, social media


M.S. in Information Science, Indiana University, Bloomington, IN
M.A. in Library and Information Science, Yonsei University, South Korea
B.A. in Library and Information Science, Yonsei University, South Korea

News about Song Mi Lee

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Could a dislike button reduce online toxicity? UMSI researchers say yes

UMSI social media experts find that a dislike feature is a “simple and indirect intervention against online harassment.”

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Examining the characteristics of a 'cyberbully'

UMSI PhD candidate Song Mi Lee joined the Michigan Minds podcast as part of a social responsibility series to provide insight on her research on disinformation and misinformation on social media, and to share findings from her recent work on online harassment.

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