LabCompass

Lisa P. Argyle

Social Sciences · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2016Rising activity
Social Media and PoliticsComputational and Text Analysis MethodsElectoral Systems and Political ParticipationMisinformation and Its ImpactsGender Politics and Representation

Publications

40

Citations

3,139

Est. group size

—

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

Lisa P. Argyle studies political psychology and the use of artificial intelligence, especially large language models (LLMs), in social science research. Her work examines how AI can be used to simulate human survey respondents, persuade people politically, and influence democratic discourse, as well as the methodological challenges of using AI tools for social science inference. She also studies topics in political identity and behavior, such as white identity, political conversation, and 'cancel culture.'

AI and large language models in social sciencePolitical persuasion and misinformationComputational text analysis methodsPolitical identity and psychologyAI's societal and democratic impacts

Publication output has grown notably over the last decade, rising from just a few papers per year around 2017-2021 to a sustained higher output of 5-8 publications per year from 2022 onward.

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

Publication cadence
Publications per year over the last 10 years — averaging 6.0/year recently
2017: 2 publications172018: 3 publications18192020: 2 publications202021: 1 publication212022: 6 publications222023: 7 publications232024: 5 publications242025: 8 publications8252026: 4 publications26
Recent publications
Publishes in
  • OSF Preprints (OSF Preprints)×7
  • arXiv (Cornell University)×5
  • Proceedings of the National Academy of Sciences×4
  • Nature Human Behaviour×2
  • Harvard Dataverse×2
Similar researchers
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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