@inproceedings{locatelli-etal-2025-ai,
    title = "{AI} and Climate Change Discourse: What Opinions Do Large Language Models Present?",
    author = "Locatelli, Marcelo Sartori  and
      Dutenhefner, Pedro  and
      Buzelin, Arthur  and
      Alzamora, Pedro Loures  and
      Aquino, Yan  and
      Bento, Pedro Augusto Torres  and
      Malaquias, Samira  and
      Estanislau, Victoria  and
      Santana, Caio  and
      Dayrell, Lucas  and
      Vasconcelos, Marisa Affonso  and
      Jr., Wagner Meira  and
      Almeida, Virgilio",
    editor = "Dutia, Kalyan  and
      Henderson, Peter  and
      Leippold, Markus  and
      Manning, Christoper  and
      Morio, Gaku  and
      Muccione, Veruska  and
      Ni, Jingwei  and
      Schimanski, Tobias  and
      Stammbach, Dominik  and
      Singh, Alok  and
      Su, Alba (Ruiran)  and
      A. Vaghefi, Saeid",
    booktitle = "Proceedings of the 2nd Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2025)",
    month = jul,
    year = "2025",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.climatenlp-1.8/",
    pages = "113--125",
    ISBN = "979-8-89176-259-6",
    abstract = "Large Language Models (LLMs) are increasingly used in applications that shape public discourse, yet little is known aboutwhether they reflect distinct opinions on global issues like climate change. This study compares climate change-relatedresponses from multiple LLMs with human opinions collected through the People{'}s Climate Vote 2024 survey (UNDP {--} UnitedNations Development Programme and Oxford, 2024). We compare country and LLM{''}s answer probability distributions and apply Exploratory Factor Analysis (EFA) to identify latent opinion dimensions. Our findings reveal that while LLM responsesdo not exhibit significant biases toward specific demographic groups, they encompass a wide range of opinions, sometimesdiverging markedly from the majority human perspective."
}