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1 results

  • How to train your stochastic parrot: large language models for political texts

  • Joseph T. Ornstein, Elise N. Blasingame, Jake S. Truscott
  • Journal:
    Political Science Research and Methods , First View
    Published online by Cambridge University Press:
    14 January 2025, pp. 1-18
    • Article
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  • We demonstrate how few-shot prompts to large language models (LLMs) can be effectively applied to a wide range of text-as-data tasks in political science—including sentiment analysis, document scaling, and topic modeling. In a series of pre-registered analyses, this approach outperforms conventional supervised learning methods without the need for extensive data pre-processing or large sets of labeled training data. Performance is comparable to expert and crowd-coding methods at a fraction of the cost. We propose a set of best practices for adapting these models to social science measurement tasks, and develop an open-source software package for researchers.