LabCompass

Joan C. Timoneda

Computer Science · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2008Rising activity
Topic ModelingNatural Language Processing TechniquesComputational and Text Analysis MethodsPolitical Conflict and GovernanceMisinformation and Its Impacts

Publications

40

Citations

346

Est. group size

—

Recurring co-author estimate

Active years

19

Publishing since 2008

Research summary
AI-generated

Joan C. Timoneda works at the intersection of political science and computational text analysis, studying how authoritarian leaders consolidate power and how democratically elected leaders may undermine democratic norms. A significant part of the recent work applies natural language processing and large language models (LLMs) to analyze political and social text, including detecting bias, ideology, and racist language in machine-generated or human-written content. This combines substantive political science questions with methodological contributions to computational text analysis.

Authoritarianism and power concentrationDemocratic backsliding and elite behaviorLarge language models (LLMs) in social science researchBias, ideology, and misinformation detection in textComputational and NLP methods for political analysis

Publication output has grown markedly since 2023, with a dip in earlier years (2019, 2022) followed by a strong, steady increase through 2024-2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.4/year recently
172018: 8 publications818192020: 4 publications202021: 4 publications21222023: 3 publications232024: 7 publications242025: 6 publications252026: 6 publications26
Recent publications
Publishes in
  • Harvard Dataverse×9
  • Zenodo (CERN European Organization for Nuclear Research)×4
  • PLoS ONE×3
  • SSRN Electronic Journal×3
  • arXiv (Cornell University)×2
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By research-topic overlap

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 20, 2026.

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