LabCompass

Marijn ten Thij

Psychology · Indiana University

Publications

45

Citations

749

Est. group size

Recurring co-author estimate

Active years

15

Publishing since 2012

Research summary
AI-generated

Marijn ten Thij studies how computational methods can be applied to human behavior and language, spanning topics like detecting misinformation online, analyzing sentiment and emotion in social media, and building privacy-preserving machine learning systems. Recent work combines mental health text analysis (such as identifying cognitive distortion in suicide-prevention chats) with technical research on federated learning, a way of training AI models across multiple parties without sharing raw data. The research bridges psychology, natural language processing, and data science.

Misinformation detection and debunkingSentiment and emotion analysis in textPrivacy-preserving federated learningMental health and language analysisSocial network and online community analysis

Publication activity has been fairly steady over the past several years, averaging about five papers per year with output continuing through 2026.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.4/year recently
17182019: 1 publication192020: 5 publications202021: 6 publications212022: 8 publications8222023: 2 publications232024: 6 publications242025: 5 publications252026: 6 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×7
  • PLoS ONE×3
  • Proceedings of the National Academy of Sciences×2
  • Elsevier eBooks×2
  • Journal of Medical Internet Research×1

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 11, 2026.

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