Shiyi (Eleveny) Chen

The Profile Picture of Shiyi (Eleveny) Chen

Position Title
Graduate Student

She/her/they/them
167 Kerr Hall
Bio

I'm a data scientist interested in how communication shapes what people believe about politics — not just what positions they hold, but how those positions come to hang together as recognizable ideologies.

My dissertation uses computational text analysis to study how beliefs become political through communicative processes like deliberation, media exposure, and elite cue-giving. My other work spans polarization and political reasoning, public opinion and survey methodology, institutional dynamics in online communities, social movement discourse, and computational methods for social science research.

I work with Prof. Seth Frey in the Computational Communication (C²) Lab.

Education and Degree(s)
  • B.A. in Communication, University of Michigan, Ann Arbor, 2023 (Minor: Computer Science, Political Science, and Quantitative Methods Social Science)
Honors and Awards
  • Provost’s Fellowship in the Arts, Humanities and Social Sciences (2023-2024)
Courses
  • CMN 152V — Social Science with Online Data (TA: Summer 2025, Winter 2026)
  • CMN 120 — Interpersonal Communication (TA: Spring 2026)
  • CMN 001 — Introduction to Public Speaking (TA: Fall 2024, Winter 2025, Spring 2025, Fall 2025)
  • CMN 003V — Interpersonal Communication Competence (TA: Summer 2024)
Research Interests & Expertise
  • Political Communication
  • Public Opinion
  • Social Media
  • Computational Social Science
  • Quantitative Methodology
Publications
  • Chen, S. (E.), Kasaraneni, N., Kiene, C., Hill, B. M., & Frey, S. (2026). Accrete and reform: Dual mechanisms of institutional change in online communities. Revise & resubmit, Social Media + Society.
  • Chen, S. (E.), Yan, H., Flynn, D. J., & Frey, S. (2026). Shooting friends and missing enemies: Decomposing polarized policy preferences as signal detection problems. Working paper.
  • Chen, S. (E.), Ding, C. (S.), Zhao, Z. (S.), Ye, M., & Frey, S. (2026). Mapping construct operationalization practices: An LLM-based extraction approach to detecting jingle-jangle fallacies in social science. Working paper.