mlsanityData to 7 Oct 2026

German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies

arXiv 2511.21722 ↗First posted 19 Nov 2025cs.CL cs.AI cs.CYcited by 4

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Abstract (arXiv)

The use of Large Language Models (LLMs) for simulating human perspectives via persona prompting is gaining traction in computational social science. However, well-curated, empirically grounded persona collections remain scarce, limiting the accuracy and representativeness of such simulations. Here, we introduce the German General Social Survey Personas (GGSS Personas) collection, a comprehensive and representative persona prompt collection built from the German General Social Survey (ALLBUS). The GGSS Personas and their persona prompts are designed to be easily plugged into prompts for all types of LLMs and tasks, steering models to generate responses aligned with the underlying German population. We evaluate GGSS Personas by prompting various LLMs to simulate survey response distributions across diverse topics, demonstrating that GGSS Personas-guided LLMs outperform state-of-the-art classifiers, particularly under data scarcity. Furthermore, we analyze how the representativity and attribute selection within persona prompts affect alignment with population responses. Our findings suggest that GGSS Personas provide a potentially valuable resource for research on LLM-based social simulations that enables more systematic explorations of population-aligned persona prompting in NLP and social science research.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 36 of its 45 references that are in the map. First posted on arXiv 19 Nov 2025.

Builds on

36 of 45 references.

References · 36

  1. 2023Efficient Memory Management for Large Language Model Serving with PagedAttentioncited by 5,767
  2. 2023Large Language Models Can Be Easily Distracted by Irrelevant Contextcited by 820
  3. 2023Whose Opinions Do Language Models Reflect?cited by 759
  4. 2022Out of One, Many: Using Language Models to Simulate Human Samplescited by 737
  5. 2022Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studiescited by 506
  6. 2023Towards Measuring the Representation of Subjective Global Opinions in Language Modelscited by 424
  7. 2024Scaling Synthetic Data Creation with 1,000,000,000 Personascited by 397
  8. 2025Persona Vectors: Monitoring and Controlling Character Traits in Language Modelscited by 303
  9. 2023From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Modelscited by 257
  10. 2024LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individualscited by 235
  11. 2024From Persona to Personalization: A Survey on Role-Playing Language Agentscited by 206
  12. 2023Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Modelscited by 204
24 more
  1. 2023Do LLMs exhibit human-like response biases? A case study in survey designcited by 176
  2. 2024Quantifying the Persona Effect in LLM Simulationscited by 164
  3. 2024Large language models that replace human participants can harmfully misportray and flatten identity groupscited by 137
  4. 2023Aligning Language Models to User Opinionscited by 98
  5. 2023CoMPosT: Characterizing and Evaluating Caricature in LLM Simulationscited by 94
  6. 2023Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Promptingcited by 80
  7. 2024PERSONA: A Reproducible Testbed for Pluralistic Alignmentcited by 71
  8. 2025Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinionscited by 64
  9. 2025Specializing Large Language Models to Simulate Survey Response Distributions for Global Populationscited by 50
  10. 2024Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinementcited by 47
  11. 2023AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Predictioncited by 46
  12. 2025The Prompt Makes the Person(a): A Systematic Evaluation of Sociodemographic Persona Prompting for Large Language Modelscited by 40
  13. 2025Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptionscited by 31
  14. 2024Persona is a Double-edged Sword: Mitigating the Negative Impact of Role-playing Prompts in Zero-shot Reasoning Taskscited by 28
  15. 2024Personas with Attitudes: Controlling LLMs for Diverse Data Annotationcited by 21
  16. 2024Plurals: A System for Guiding LLMs Via Simulated Social Ensemblescited by 17
  17. 2024Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Studycited by 14
  18. 2024Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinioncited by 13
  19. 2025Prompt Perturbations Reveal Human-Like Biases in Large Language Model Survey Responsescited by 13
  20. 2025PersonaTeaming: Exploring How Introducing Personas Can Improve Automated AI Red-Teamingcited by 8
  21. 2025Missing the Margins: A Systematic Literature Review on the Demographic Representativeness of LLMscited by 8
  22. 2025TinyTroupe: An LLM-powered Multiagent Persona Simulation Toolkitcited by 7
  23. 2025LLMs Model Non-WEIRD Populations: Experiments with Synthetic Cultural Agentscited by 5
  24. 2025PersonaTwin: A Multi-Tier Prompt Conditioning Framework for Generating and Evaluating Personalized Digital Twinscited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 4.

4 papers.

  1. 2026When Can Digital Personas Reliably Approximate Human Survey Findings?cited by 2
  2. 2026When Persona Attributes Improve Population Alignment in Large Language Modelscited by 1
  3. 2026Can Open-Weight Large Language Models (LLMs) Simulate Human Survey Populations? A Cross-Instrument Calibration Studycited by 0
  4. 2026How Far Do Persona Effects Generalize in Language Models?cited by 0

Similar, not cited

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  1. 2025Population-Aligned Persona Generation for LLM-based Social Simulation
  2. 2025Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity
  3. 2024Agentic Society: Merging skeleton from real world and texture from Large Language Model
  4. 2026Persona-Based Simulation of Human Opinion at Population Scale
  5. 2025Applying Psychometrics to Large Language Model Simulated Populations: Recreating the HEXACO Personality Inventory Experiment with Generative Agents
  6. 2025Whose Personae? Synthetic Persona Experiments in LLM Research and Pathways to Transparency
  7. 2026Distribution-First Population Simulation: Collapse, Calibration, and Recall in Non-WEIRD LLM Persona Modeling
  8. 2026Persona Prompting as a Lens on LLM Social Reasoning