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Integrating Generative Artificial Intelligence into Social Science Research: Measurement, Prompting, and Simulation
16 references·3 citing·45 second hop
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References

  • 1995Simulacra and Simulation6,889 cited
  • 2021On the Opportunities and Risks of Foundation Models2,670 cited
  • 2014Abductive Analysis1,713 cited
  • 2024Generative AI at Work1,057 cited
  • 2023Out of One, Many: Using Language Models to Simulate Human Samples774 cited
  • 2023Can Large Language Models Transform Computational Social Science?582 cited
  • 2023AI and the transformation of social science research372 cited
  • 2024Can Generative AI improve social science?367 cited
  • 2023Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?320 cited
  • 2018The Future of Coding: A Comparison of Hand-Coding and Three Types of Computer-Assisted Text Analysis Methods237 cited
  • 2021Toward a Sociology of Artificial Intelligence: A Call for Research on Inequalities and Structural Change234 cited
  • 2024Synthetic Replacements for Human Survey Data? The Perils of Large Language Models205 cited
  • 2023Text as Data: A New Framework for Machine Learning and the Social Sciences204 cited
  • 2019CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media178 cited
  • 2025Updating “The Future of Coding”: Qualitative Coding with Generative Large Language Models

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61 cited
  • 2019Concept Mover’s Distance: measuring concept engagement via word embeddings in texts56 cited
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    • 2026Qualitative Research in an Era of Artificial Intelligence: A Pragmatic Approach to Data Analysis, Workflow, and Computation5 cited
    • 2026Computational Text Analysis for Building and Testing Social Theory2 cited
    • 2026Re‐Imagining the Epistemic Possibilities of GPT for Public Administration Research in Competitive Settings1 cited