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Out of One, Many: Using Language Models to Simulate Human Samples

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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Cited by:

  1. Paola Cillo & Gaia Rubera, 2025. "Generative AI in innovation and marketing processes: A roadmap of research opportunities," Journal of the Academy of Marketing Science, Springer, vol. 53(3), pages 684-701, May.
  2. Darija Barak & Miguel Costa-Gomes, 2025. "Humans expect rationality and cooperation from LLM opponents in strategic games," Papers 2505.11011, arXiv.org.
  3. Felipe A. Csaszar & Harsh Ketkar & Hyunjin Kim, 2024. "Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors," Strategy Science, INFORMS, vol. 9(4), pages 322-345, December.
  4. Fuchs, Anna & Haensch, Anna-Carolina & Weber, Wiebke, 2026. "AI for Survey Design: Generating and Evaluating Survey Questions with Large Language Models," SocArXiv fzn7t_v1, Center for Open Science.
  5. Matthew O. Jackson & Qiaozhu Me & Stephanie W. Wang & Yutong Xie & Walter Yuan & Seth Benzell & Erik Brynjolfsson & Colin F. Camerer & James Evans & Brian Jabarian & Jon Kleinberg & Juanjuan Meng & Se, 2025. "AI Behavioral Science," Papers 2509.13323, arXiv.org, revised May 2026.
  6. Sanguk Lee & Tai-Quan Peng & Matthew H Goldberg & Seth A Rosenthal & John E Kotcher & Edward W Maibach & Anthony Leiserowitz, 2024. "Can large language models estimate public opinion about global warming? An empirical assessment of algorithmic fidelity and bias," PLOS Climate, Public Library of Science, vol. 3(8), pages 1-14, August.
  7. Hua Li & Qifang Wang & Ye Wu, 2025. "From Mobile Media to Generative AI: The Evolutionary Logic of Computational Social Science Across Data, Methods, and Theory," Mathematics, MDPI, vol. 13(19), pages 1-17, September.
  8. Eric Hitz & Mingmin Feng & Radu Tanase & Ren'e Algesheimer & Manuel S. Mariani, 2025. "The amplifier effect of artificial agents in social contagion," Papers 2502.21037, arXiv.org, revised Mar 2025.
  9. Haoyi Zhang & Tianyi Zhu, 2025. "Neither Consent nor Property: A Policy Lab for Data Law," Papers 2510.26727, arXiv.org, revised Apr 2026.
  10. Nicola Limodio & Luca Picariello & Tom Schwantje, 2026. "Banking under Conflict: Managers and Organizational Design," Mo.Fi.R. Working Papers 198, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
  11. Anne Lundgaard Hansen & Seung Jung Lee, 2025. "Financial Stability Implications of Generative AI: Taming the Animal Spirits," Papers 2510.01451, arXiv.org.
  12. Ben Weidmann & Yixian Xu & David J. Deming, 2025. "Measuring Human Leadership Skills with Artificially Intelligent Agents," Papers 2508.02966, arXiv.org.
  13. Kim, Soojong & Kim, Kwanho & Kim, Hye Min, 2025. "Large language models’ varying accuracy in recognizing risk-promoting and health-supporting sentiments in public health discourse: The cases of HPV vaccination and heated tobacco products," Social Science & Medicine, Elsevier, vol. 383(C).
  14. Viglia, Giampaolo & Adler, Susanne J. & Miltgen, Caroline Lancelot & Sarstedt, Marko, 2024. "The use of synthetic data in tourism," Annals of Tourism Research, Elsevier, vol. 108(C).
  15. Henner Gimpel & Robert Laubacher & Fabian Probost & Ricarda Schäfer & Manfred Schoch, 2025. "Idea Evaluation for Solutions to Specialized Problems: Leveraging the Potential of Crowds and Large Language Models," Group Decision and Negotiation, Springer, vol. 34(4), pages 903-932, August.
  16. Wayne Gao & Sukjin Han & Annie Liang, 2026. "How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge," Papers 2601.12343, arXiv.org.
  17. Erkan Gunes & Christoffer Koch Florczak, 2025. "Replacing or enhancing the human coder? Multiclass classification of policy documents with large language models," Journal of Computational Social Science, Springer, vol. 8(2), pages 1-20, May.
  18. Hui Chen & Antoine Didisheim & Mohammad & Pourmohammadi & Luciano Somoza & Hanqing Tian, 2025. "A Financial Brain Scan of the LLM," Papers 2508.21285, arXiv.org, revised Feb 2026.
  19. Paweł Gmyrek & Christoph Lutz & Gemma Newlands, 2025. "A technological construction of society: Comparing GPT‐4 and human respondents for occupational evaluation in the UK," British Journal of Industrial Relations, London School of Economics, vol. 63(1), pages 180-208, March.
  20. Shilei Luo & Zhiqi Zhang & Hengchen Dai & Dennis Zhang, 2026. "Behavioral Transfer in AI Agents: Evidence and Privacy Implications," Papers 2604.19925, arXiv.org.
  21. Jeon, June & Kim, Lanu & Park, Jaehyuk, 2025. "The ethics of generative AI in social science research: A qualitative approach for institutionally grounded AI research ethics," Technology in Society, Elsevier, vol. 81(C).
  22. Antonina Rafikova & Anatoly Voronin, 2026. "ChatGPT as a research proxy: simulating human attitudes in social science research," Journal of Computational Social Science, Springer, vol. 9(1), pages 1-30, February.
  23. Sugat Chaturvedi & Rochana Chaturvedi, 2025. "Who Gets the Callback? Generative AI and Gender Bias," Papers 2504.21400, arXiv.org.
  24. Andrew Katz & Gabriella Coloyan Fleming & Joyce B. Main, 2026. "Thematic analysis with open-source generative AI and machine learning: a new method for inductive qualitative codebook development," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-17, December.
  25. Yang Chen & Samuel N. Kirshner & Anton Ovchinnikov & Meena Andiappan & Tracy Jenkin, 2025. "A Manager and an AI Walk into a Bar: Does ChatGPT Make Biased Decisions Like We Do?," Manufacturing & Service Operations Management, INFORMS, vol. 27(2), pages 354-368, March.
  26. Thomas R. Cook & Sophia Kazinnik & Zach Modig & Nathan M. Palmer, 2025. "What Do LLMs Want?," Research Working Paper RWP 25-19, Federal Reserve Bank of Kansas City.
  27. Yingnan Yan & Tianming Liu & Yafeng Yin, 2025. "Valuing Time in Silicon: Can Large Language Models Replicate Human Value of Travel Time," Papers 2507.22244, arXiv.org, revised Dec 2025.
  28. Seo, Jibeom & Kim, Beom Jun, 2025. "Opinion dynamics model of collaborative learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 672(C).
  29. repec:osf:osfxxx:udz28_v2 is not listed on IDEAS
  30. Brandon Yee & Pairie Koh, 2026. "Calibrating Behavioral Parameters with Large Language Models," Papers 2602.01022, arXiv.org, revised May 2026.
  31. repec:osf:socarx:97r8s_v1 is not listed on IDEAS
  32. Navid Ghaffarzadegan & Aritra Majumdar & Ross Williams & Niyousha Hosseinichimeh, 2024. "Generative agent‐based modeling: an introduction and tutorial," System Dynamics Review, System Dynamics Society, vol. 40(1), January.
  33. Mills, Stuart & Sætra, Henrik Skaug, 2025. "Algorithms in the room: AI, representation, and decisions about sustainable futures," Technovation, Elsevier, vol. 147(C).
  34. Hongshen Sun & Juanjuan Zhang, 2025. "From Model Choice to Model Belief: Establishing a New Measure for LLM-Based Research," Papers 2512.23184, arXiv.org.
  35. Giulia Iadisernia & Carolina Camassa, 2025. "Prompting for Policy: Forecasting Macroeconomic Scenarios with Synthetic LLM Personas," Papers 2511.02458, arXiv.org.
  36. George Gui & Seungwoo Kim, 2025. "Leveraging LLMs to Improve Experimental Design: A Generative Stratification Approach," Papers 2509.25709, arXiv.org.
  37. Seung Jung Lee & Anne Lundgaard Hansen, 2025. "Financial Stability Implications of Generative AI: Taming the Animal Spirits," Finance and Economics Discussion Series 2025-090, Board of Governors of the Federal Reserve System (U.S.).
  38. Ryota IWAMOTO & Takunori ISHIHARA & Takanori IDA, 2025. "Comparing Risk Preferences and Reference Dependence in Humans and AI: A Persona-Based Approach with Fine-Tuning," Discussion papers e-25-006, Graduate School of Economics , Kyoto University.
  39. Niyousha Hosseinichimeh & Aritra Majumdar & Ross Williams & Navid Ghaffarzadegan, 2024. "From text to map: a system dynamics bot for constructing causal loop diagrams," System Dynamics Review, System Dynamics Society, vol. 40(3), July.
  40. Koji Takahashi & Joon Suk Park, 2025. "Generative AI for Surveys on Payment Apps: AIs' View on Privacy and Technology," IMES Discussion Paper Series 25-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
  41. repec:osf:socarx:8je9g_v1 is not listed on IDEAS
  42. Ferraz, Vinícius & Olah, Tamas & Sazedul, Ratin & Schmidt, Robert & Schwieren, Christiane, 2025. "When Artificial Minds Negotiate: Dark Personality and the Ultimatum Game in Large Language Models," Working Papers 0768, University of Heidelberg, Department of Economics.
  43. Du, Tianyu & Kanodia, Ayush & Brunborg, Herman & Vafa, Keyon & Athey, Susan, 2024. "Labor-LLM: Language-Based Occupational Representations with Large Language Models," Research Papers 4188, Stanford University, Graduate School of Business.
  44. Sanchaita Hazra & Bodhisattwa Prasad Majumder & Tuhin Chakrabarty, 2025. "AI Safety Should Prioritize the Future of Work," Papers 2504.13959, arXiv.org, revised Jul 2025.
  45. Ayato Kitadai & Yusuke Fukasawa & Nariaki Nishino, 2025. "Bias-Adjusted LLM Agents for Human-Like Decision-Making via Behavioral Economics," Papers 2508.18600, arXiv.org.
  46. Lemor, Antoine Claude, 2026. "The Death of Policy Process Theories? Agenda-Setting in the Age of Machines," SocArXiv jnds4_v2, Center for Open Science.
  47. Aliya Amirova & Theodora Fteropoulli & Nafiso Ahmed & Martin R Cowie & Joel Z Leibo, 2024. "Framework-based qualitative analysis of free responses of Large Language Models: Algorithmic fidelity," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-33, March.
  48. Olivier Toubia & George Z. Gui & Tianyi Peng & Daniel J. Merlau & Ang Li & Haozhe Chen, 2025. "Database Report: Twin-2K-500: A Data Set for Building Digital Twins of over 2,000 People Based on Their Answers to over 500 Questions," Marketing Science, INFORMS, vol. 44(6), pages 1446-1455, November.
  49. Nikoleta Anesti & Edward Hill & Andreas Joseph, 2025. "Inflation Attitudes of Large Language Models," Papers 2512.14306, arXiv.org.
  50. repec:osf:osfxxx:r3qng_v1 is not listed on IDEAS
  51. George Gui & Olivier Toubia, 2023. "The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective," Papers 2312.15524, arXiv.org, revised Nov 2025.
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