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Large Language Models Can Argue in Convincing Ways About Politics, But Humans Dislike AI Authors: implications for Governance
10 references·0 citing·39 second hop
Large Language Models Can Argue in Convincing Ways About Politics, But Humans Dislike AI Authors: implications for Governance (2023)Large Language Models Can Argue in Convin…Synthetically generated text for supervised text analysis (2025)Synthetically generated text …Why open-source generative AI models are an ethical way forward for science (2023)Why open-source generative AI…More human than human: measuring ChatGPT political bias (2023)More human than human: measur…Evaluating the fake news problem at the scale of the information ecosystem (2020)Evaluating the fake news prob…Deep Fakes: A Looming Challenge for Privacy (2019)Deep Fakes: A Looming Challen…The science of fake news (2018)The science of fake newsFrom Backwaters to Major Policymakers: Policy Polarization in the States, 1970–2014 (2018)From Backwaters to Major Poli…Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security (2018)Deep Fakes: A Looming Challen…The Clockwork Muse: The Predictability of Artistic Change. (1991)The Clockwork Muse: The Predi…The General Inquirer: A Computer Approach to Content Analysis. (1967)The General Inquirer: A Compu…Social Media and Fake News in the 2016 Election (2017)Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning (2018)The spread of true and false news online (2018)Fake news on Twitter during the 2016 U.S. presidential election (2019)Systematic Literature Review on the Spread of Health-related Misinformation on Social Media (2019)A theory of justice original editionAgendas and instability in American politics (1993)Politics in Time (2004)Looking for Influence in All the Wrong Places: How Studying Subnational Policy Can Revive Research on Interest Groups (2018)Madison's Constitution Under Stress: A Developmental Analysis of Political Polarization (2019)Laboratories of Democratic Backsliding (2022)Jane Doe v. United States, 110 F.Supp.3d 448 (E.D.N.Y. 2015), ordered vacated, 833 F.3d 192 (2d Cir. 2016) (“Doe I”) (2018)Artificial Intelligence in Digital Media: The Era of Deepfakes (2020)Desinformación en tiempos de pandemia: tipología de los bulos sobre la Covid-19 (2020)Deepfakes: Deceptions, mitigations, and opportunities (2022)The Agenda-Setting Function of Mass Media (1972)Long-term effectiveness of inoculation against misinformation: Three longitudinal experiments. (2020)Reliance on emotion promotes belief in fake news (2020)An exploratory study of COVID-19 misinformation on Twitter (2021)Semantics derived automatically from language corpora contain human-like biases (2017)Political Effects of the Internet and Social Media (2020)Out of One, Many: Using Language Models to Simulate Human Samples (2023)The Social Impact of Generative AI: An Analysis on ChatGPT (2023)AI for social science and social science of AI: A survey (2024)Ethical ChatGPT: Concerns, Challenges, and Commandments (2024)The Populist Zeitgeist (2004)Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE) (2022)ChatGPT outperforms crowd workers for text-annotation tasks (2023)PAPEA: A modular pipeline for the automation of protest event analysis (2025)Extracting, Representing, and Analyzing Mental Models (1992)Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales (2013)Can Large Language Models Transform Computational Social Science? (2023)Protecting World Leaders Against Deep Fakes (2019)Psychological Aspects of Natural Language Use: Our Words, Our Selves (2002)Beyond Big and Little: The Four C Model of Creativity (2009)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)Durably reducing conspiracy beliefs through dialogues with AI (2024)Rethinking open source generative AI: open washing and the EU AI Act (2024)The dangers of using proprietary LLMs for research (2024)
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References

  • 2018The science of fake news4,155 cited
  • 2018Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security879 cited
  • 1967The General Inquirer: A Computer Approach to Content Analysis.723 cited
  • 2020Evaluating the fake news problem at the scale of the information ecosystem528 cited
  • 1991The Clockwork Muse: The Predictability of Artistic Change.328 cited
  • 2023More human than human: measuring ChatGPT political bias326 cited
  • 2018From Backwaters to Major Policymakers: Policy Polarization in the States, 1970–2014275 cited
  • 2019Deep Fakes: A Looming Challenge for Privacy263 cited
  • 2023Why open-source generative AI models are an ethical way forward for science104 cited
  • 2025Synthetically generated text for supervised text analysis15 cited

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