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Synthetic duality: A framework for analyzing generative artificial intelligence's representation of social reality
16 references·2 citing·46 second hop
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this work references cited by second hop

References

  • 1974The Duality of Persons and Groups1,383 cited
  • 2023ChatGPT outperforms crowd workers for text-annotation tasks1,338 cited
  • 1965Propaganda: The Formation of Men's Attitudes939 cited
  • 2023Out of One, Many: Using Language Models to Simulate Human Samples817 cited
  • 2023Can Large Language Models Transform Computational Social Science?676 cited
  • 1998Measuring Meaning Structures615 cited
  • 2010Cultural Holes: Beyond Relationality in Social Networks and Culture532 cited
  • 2020All the News That’s Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation358 cited
  • 2024Durably reducing conspiracy beliefs through dialogues with AI353 cited
  • 2023More human than human: measuring ChatGPT political bias352 cited
  • 2014Relational Sociology, Culture, and Agency304 cited
  • 2020Computational propaganda: political parties, politicians, and political manipulation on social media276 cited
  • 2023Co-Writing with Opinionated Language Models Affects Users’ Views265 cited
  • 2023AI model GPT-3 (dis)informs us better than humans241 cited
  • 2024Synthetic Replacements for Human Survey Data? The Perils of Large Language Models221 cited

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  • 2015Lexical shifts, substantive changes, and continuity in State of the Union discourse, 1790–2014190 cited
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    • 2025Integrating Generative Artificial Intelligence into Social Science Research: Measurement, Prompting, and Simulation39 cited
    • 2025From Codebooks to Promptbooks: Extracting Information from Text with Generative Large Language Models29 cited