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University of Michigan School of Information

Yulin Yu

Yulin Yu


I am a PhD student in School of Information at University of Michigan, where I am advised by Daniel Romero. For more information, please visit:



Areas of interest

My research interest is broadly in computational social science and information diffusion . Specifically, I apply data science methods including causal inference, network analysis, natural language processing, machine learning, and experiments to study what drives the popularity of people (e.g artists, scientists) and cultural artifacts (e.g music, vlog, social media posts). I am very interested in understanding these topics in global and cross-cultural perspectives.

Honors & awards

Novelty in what sense? Heterogeneous relationships between novelty and popularity in music. Special Recognition Award, 7th International Conference on Computational Social Science, 2021

News about Yulin Yu

ChatGPT, entrepreneurship and ICWSM conference. Check out UMSI faculty and PhD candidate publications.
ChatGPT, Entrepreneurship and ICWSM Conference: UMSI Research Roundup

Recent UMSI faculty and PhD student publications.

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Purple background with photo of Yulin Yu. Text reads: "Gendered Citation Patterns Among the Scientific Elite."
Researchers find gender disparities limit academic reach and recognition

The scholarly influence of women looks very different from men in the elite sciences, according to research from UMSI and USC. The study reveals continuing challenges for gender equality in scientific research.


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