Comparing the persuasiveness of role-playing large language models and human experts on polarized U.S. political issues

Kobi Hackenburg, Lujain Ibrahim, Ben M. Tappin, Manos Tsakiris. Comparing the persuasiveness of role-playing large language models and human experts on polarized U.S. political issues. AI Soc., 41(1):351-361, January 2026. [doi]

@article{HackenburgITT26,
  title = {Comparing the persuasiveness of role-playing large language models and human experts on polarized U.S. political issues},
  author = {Kobi Hackenburg and Lujain Ibrahim and Ben M. Tappin and Manos Tsakiris},
  year = {2026},
  month = {January},
  doi = {10.1007/s00146-025-02464-x},
  url = {https://doi.org/10.1007/s00146-025-02464-x},
  researchr = {https://researchr.org/publication/HackenburgITT26},
  cites = {0},
  citedby = {0},
  journal = {AI Soc.},
  volume = {41},
  number = {1},
  pages = {351-361},
}