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Scaling language model size yields diminishing returns for single-message political persuasion
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(2010)Estimating the reproducibility of psychological science (2015)Prior exposure increases perceived accuracy of fake news. (2018)White Identity Politics (2019)A Theory of Social Comparison Processes (1954)Telling more than we can know: Verbal reports on mental processes. (1977)Feeling and thinking: Preferences need no inferences. 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References

  • 2023Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics13,695 cited
  • 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena4,939 cited
  • 1986The Elaboration Likelihood Model of Persuasion3,265 cited
  • 2015The Generalizability of Survey Experiments1,248 cited
  • 2024Durably reducing conspiracy beliefs through dialogues with AI353 cited
  • 2025On the conversational persuasiveness of GPT-4282 cited
  • 2022Predictability and Surprise in Large Generative Models207 cited
  • 2023Working With AI to Persuade: Examining a Large Language Model's Ability to Generate Pro-Vaccination Messages167 cited
  • 2023Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations147 cited
  • 2024Eight Things to Know about Large Language Models134 cited
  • 2024Evaluating the persuasive influence of political microtargeting with large language models133 cited
  • 2024How persuasive is AI-generated propaganda?133 cited
  • 2025LLM-generated messages can persuade humans on policy issues110 cited
  • 2025Thousands of AI Authors on the Future of AI82 cited
  • 2023Partisans’ receptivity to persuasive messaging is undiminished by countervailing party leader cues

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  • 2025Towards Interactive Evaluations for Interaction Harms in Human-AI Systems11 cited
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    • 2025The impact of advanced AI systems on democracy17 cited
    • 2025Arti-‘fickle’ intelligence: using LLMs as a tool for inference in the political and social sciences5 cited