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Intelligent Computing Social Modeling and Methodological Innovations in Political Science in the Era of Large Language Models
13 references·5 citing·46 second hop
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References

  • 2010A Behavioral Approach to the Rational Choice Theory of Collective Action Presidential Address, American political Science Association, 19972,850 cited
  • 2014Big Data, new epistemologies and paradigm shifts2,351 cited
  • 1985Human Nature in Politics: The Dialogue of Psychology with Political Science1,368 cited
  • 2002Revisiting the Quantitative-Qualitative Debate: Implications for Mixed-Methods Research1,082 cited
  • 2012A Tale of Two Cultures833 cited
  • 2023Out of One, Many: Using Language Models to Simulate Human Samples774 cited
  • 2023Can Large Language Models Transform Computational Social Science?582 cited
  • 2023Can AI language models replace human participants?399 cited
  • 2023AI and the transformation of social science research372 cited
  • 2013Understanding the paradigm shift to computational social science in the presence of big data369 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
  • 2015Building Better Models138 cited

Cited by

  • 2026Rolling Memory: A New Approach to Annotation with Generative LLMs in Social and Political Research12 cited

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2025
Simulating social perception with large language models: perceptions of China’s common prosperity
8 cited
  • 2026Is Research Safe in the AI Revolution? LLMs Fall Short of Expert Benchmarks in Scientific Evidence Evaluation5 cited
  • 2026Digitizing and Generating Social Conflict Data with Artificial Intelligence4 cited
  • 2026Piercing a Methodological Bubble: Large Language Models and the Social Sciences2 cited