Persuading voters using human-artificial intelligence dialogues.

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Title: Persuading voters using human-artificial intelligence dialogues.
Authors: Lin H; Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA., Czarnek G; Institute of Psychology, Jagiellonian University, Kraków, Poland., Lewis B; Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA., White JP; Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA., Berinsky AJ; Department of Political Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Costello T; Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA, USA., Pennycook G; Department of Psychology, Cornell University, Ithaca, NY, USA. gordon.pennycook@cornell.edu.; Hill/Levene Schools of Business, University of Regina, Regina, Saskatchewan, Canada. gordon.pennycook@cornell.edu., Rand DG; Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA. dgr7@cornell.edu.; Department of Psychology, Cornell University, Ithaca, NY, USA. dgr7@cornell.edu.; Department of Information Science, Cornell University, Ithaca, NY, USA. dgr7@cornell.edu.; Marketing and Management Communications, SC Johnson School of Business, Cornell University, Ithaca, NY, USA. dgr7@cornell.edu.
Source: Nature [Nature] 2025 Dec; Vol. 648 (8093), pp. 394-401. Date of Electronic Publication: 2025 Dec 04.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 0410462 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-4687 (Electronic) Linking ISSN: 00280836 NLM ISO Abbreviation: Nature Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1476-4687
DOI:10.1038/s41586-025-09771-9