An Economic Sociology of the AI Hype
Li, Zhuofan. 2024. “When Being a Data Annotator Was Not Yet a Job: The Laboratory Origins of Dispersible Labor in Computer Vision Research.” Socius 10:23780231241259617. DOI: 10.1177/23780231241259617.
Computational Social Science and Shoe Leather
How can we leverage large language models not to substitute, but to advance ethnographic methods?
Li, Zhuofan, and Corey M. Abramson. 2025. “Ethnography and Machine Learning.” Pp. 245–72 in The Oxford Handbook of the Sociology of Machine Learning, edited by Christian Borch and Juan Pablo Pardo-Guerra. Oxford University Press. DOI: 10.1093/oxfordhb/9780197653609.013.36.
Abramson, Corey M., Zhuofan Li, Tara Prendergast, and Martín Sánchez-Jankowski. 2024. “Inequality in the Origins and Experiences of Pain: What ‘Big (Qualitative) Data’ Reveal about Social Suffering in the United States.” The Russell Sage Foundation Journal of the Social Sciences: RSF 10(5):34–65. DOI: 10.7758/RSF.2024.10.5.03.
Li, Zhuofan, Daniel Dohan, and Corey M. Abramson. 2021. “Qualitative Coding in the Computational Era: A Hybrid Approach to Improve Reliability and Reduce Effort for Coding Ethnographic Interviews.” Socius 7:23780231211062345. DOI: 10.1177/23780231211062345.
What Do We Live Through When We Live Through Inequality?
TBA