Can large language models estimate public opinion about global warming? An empirical assessment of algorithmic fidelity and bias

• Sanguk Lee,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

  Affiliation Yale Program on Climate Change Communication, Yale University, New Haven, Connecticut, United States of America

  https://orcid.org/0000-0001-9204-0867

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• Tai-Quan Peng ,

  Roles Conceptualization, Formal analysis, Investigation, Resources, Supervision, Writing – review & editing

  * E-mail: winsonpeng@gmail.com

  Affiliation Department of Communication, Michigan State University, East Lansing, Michigan, United States of America

  https://orcid.org/0000-0002-2588-7491

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• Matthew H. Goldberg,

  Roles Writing – review & editing

  Affiliation Yale Program on Climate Change Communication, Yale University, New Haven, Connecticut, United States of America

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• Seth A. Rosenthal,

  Roles Resources, Writing – review & editing

  Affiliation Yale Program on Climate Change Communication, Yale University, New Haven, Connecticut, United States of America

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• John E. Kotcher,

  Roles Resources, Writing – review & editing

  Affiliation Center for Climate Change Communication, George Mason University, Fairfax, Virginia, United States of America

  https://orcid.org/0000-0003-4789-1384

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• Edward W. Maibach,

  Roles Resources, Writing – review & editing

  Affiliation Center for Climate Change Communication, George Mason University, Fairfax, Virginia, United States of America

  https://orcid.org/0000-0003-3409-9187

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• Anthony Leiserowitz

  Roles Resources, Writing – review & editing

  Affiliation Yale Program on Climate Change Communication, Yale University, New Haven, Connecticut, United States of America

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