LabCompass

Ju Yeon Park

Social Sciences · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2016Rising activity
Electoral Systems and Political ParticipationPolitical Influence and Corporate StrategiesSocial Media and PoliticsJudicial and Constitutional StudiesMedia Influence and Politics

Publications

28

Citations

147

Est. group size

—

Recurring co-author estimate

Active years

10

Publishing since 2016

Research summary
AI-generated

Ju Yeon Park studies U.S. congressional politics, focusing on how legislative committee hearings function as venues for information exchange between lawmakers, witnesses, and bureaucrats, and how politicians use these hearings for political messaging or 'grandstanding.' The research combines political science theory with quantitative text analysis and machine learning methods to study legislative and political speech, including argument mining and discourse analysis of congressional and social media debates.

Congressional hearings and legislative behaviorPolitical grandstanding and messaging politicsText analysis and machine learning for political scienceInformation provision by bureaucrats and witnesses in CongressPolicy preference estimation methods

Publication output has fluctuated over the past decade, with a notable spike in 2019, a lull in the early 2020s, and renewed growth from 2024 onward.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.8/year recently
172018: 1 publication182019: 10 publications10192020: 1 publication202021: 1 publication212022: 3 publications222023: 1 publication232024: 6 publications242025: 4 publications2526
Recent publications
Publishes in
  • Harvard Dataverse×12
  • The Journal of Politics×2
  • arXiv (Cornell University)×2
  • American Political Science Review×1
  • Electoral Studies×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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