🧑‍🔬 Markus Strohmaier

🏛️ Affiliations

🔬GESIS - Leibniz Institute for the Social SciencesMannheim · Germany2013–2026 · 125 paperscurrent🎓University of MannheimMannheim · Germany2021–2026 · 51 papersEmploymentcurrent🤝Complexity Science HubVienna · Austria2021–2026 · 19 paperscurrent🎓Graz University of TechnologyGraz · Austria2007–2021 · 66 papers🎓Universität KoblenzKoblenz · Germany2013–2021 · 62 papers🎓RWTH Aachen UniversityAachen · Germany2017–2022 · 42 papersEmployment🎓University of Koblenz and LandauMainz · Germany2013–2021 · 29 papers🏢Know Center Research GmbHGraz · Austria2002–2013 · 19 papers🎓University of TorontoToronto · Canada2006–2007 · 6 papers🎓Stanford UniversityStanford · United States2013–2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Neural network embeddings recover value dimensions from psychometric survey items on par with human data (2026 · 2 citations)
   In psychometrics, questionnaires are refined by having many people rate candidate items and then examining how the responses correlate.
2. German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies (2026 · 1 citation)
   LLM-based simulation of human views through persona prompting is increasingly common, but few persona collections are carefully curated and tied to real population data.
3. Prompt Perturbations Reveal Human-Like Biases in Large Language Model Survey Responses (2026 · 1 citation)
   LLMs are increasingly used as stand-ins for human survey participants. It is unclear how stable their answers are, and whether they show the response biases that survey methodology documents in people. The authors built a perturbation framework from 62 value-oriented question–answer pairs, sampled by stratum from the…

All works

6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Measuring algorithmically infused societies ↗Nature · no summary yetClaudia Wagner et al.2021 · 145 citations
2. Why We Read Wikipedia ↗International World Wide Web Conference (WWW) · no summary yetPhilipp Singer et al.2017 · 88 citations
3. FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in German ↗Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER) · no summary yetJustus Mattern et al.2021 · 23 citations
4. Neural network embeddings recover value dimensions from psychometric survey items on par with human dataFindings of the Association for Computational LinguisticsMax Pellert, Clemens M Lechner, Indira Sen, et al.2026 · 2 citations
5. German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM StudiesLanguage Resources and Evaluation Conference (LREC)Jens Rupprecht, Leon Froehling, Claudia Wagner, et al.2026 · 1 citation
6. Prompt Perturbations Reveal Human-Like Biases in Large Language Model Survey ResponsesWorkshop on Natural Language Processing and Computational Social ScienceJens Rupprecht, Georg Ahnert, Markus Strohmaier2026 · 1 citation

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• Jens Rupprecht ×2
• Claudia Wagner
• Indira Sen

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Language Resources and Evaluation Conference (LREC): LREC 2026
• Workshop on Natural Language Processing and Computational Social Science: Workshop on Natural Language Processing and Computational Social Science 2026
• International World Wide Web Conference (WWW)
• Nature
• Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER)

🔗 Cited by

Papers of our library cite their works 18 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 1 November 2026

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