LabCompass

Matthew Sweitzer

Physics and Astronomy · The Ohio State University

Early career · publishing since 2017Rising activity

Publications

46

Citations

369

Est. group size

~1

Recurring co-author estimate

Active years

9

Publishing since 2017

Research summary
AI-generated

Matthew Sweitzer's research focuses on how information, trust, and influence spread through social networks and online media, using computational tools such as graph neural networks and topological data analysis to study these dynamics over time. Recent work also explores how to measure and model trust in AI systems, and how public discourse (e.g., about nuclear waste siting or water issues) shifts in tone and topic over time. The work blends network science, natural language processing, and simulation methods to understand social influence and discourse change.

Social network dynamics and influence spreadTrust and interpretability in AI systemsTemporal link prediction using graph neural networksText and sentiment analysis of online/media discourseTopological data analysis applied to networks

Publication output has grown notably over the last decade, rising from sporadic single-digit yearly counts before 2020 to a peak of 14 publications in 2024.

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

Publication cadence
Publications per year over the last 10 years — averaging 6.6/year recently
2017: 1 publication172018: 6 publications182019: 1 publication192020: 4 publications202021: 3 publications212022: 9 publications222023: 5 publications232024: 14 publications14242025: 5 publications2526
Publishes in
  • Human Communication Research×3
  • Communication Research×3
  • American Journal of Sociology×1
  • Self and Identity×1
  • Journal of Language and Social Psychology×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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