Publication: Automated fact-checking of climate claims with large language models
Automated fact-checking of climate claims with large language models
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Leippold, M., Vaghefi, S. A., Stammbach, D., Muccione, V., Bingler, J., Ni, J., Colesanti Senni, C., Wekhof, T., Schimanski, T., Gostlow, G., Yu, T., Luterbacher, J., & Huggel, C. (2025). Automated fact-checking of climate claims with large language models. Npj Climate Action, 4(1), 17. https://doi.org/10.1038/s44168-025-00215-8
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Accurate identification of true versus false climate information in the digital age is critical. Misinformation can significantly affect public understanding and policymaking. Automated fact-checking seeks to validate claims against trustworthy factual data. This study tackles the challenge of fact-checking climate claims by leveraging the currently most capable Large Language Models (LLMs). To this end, we introduce Climinator, an acronym for CLImate Mediator for INformed Analysis and Transparent Objective Reasoning. It significantly
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Leippold, M., Vaghefi, S. A., Stammbach, D., Muccione, V., Bingler, J., Ni, J., Colesanti Senni, C., Wekhof, T., Schimanski, T., Gostlow, G., Yu, T., Luterbacher, J., & Huggel, C. (2025). Automated fact-checking of climate claims with large language models. Npj Climate Action, 4(1), 17. https://doi.org/10.1038/s44168-025-00215-8
