@inproceedings{stede-memminger-2025-afd,
    title = "{A}f{D}-{CCC}: Analyzing the Climate Change Discourse of a {G}erman Right-wing Political Party",
    author = "Stede, Manfred  and
      Memminger, Ronja",
    editor = "Atwell, Katherine  and
      Biester, Laura  and
      Borah, Angana  and
      Dementieva, Daryna  and
      Ignat, Oana  and
      Kotonya, Neema  and
      Liu, Ziyi  and
      Wan, Ruyuan  and
      Wilson, Steven  and
      Zhao, Jieyu",
    booktitle = "Proceedings of the Fourth Workshop on NLP for Positive Impact (NLP4PI)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.nlp4pi-1.14/",
    doi = "10.18653/v1/2025.nlp4pi-1.14",
    pages = "163--174",
    ISBN = "978-1-959429-19-7",
    abstract = "While the scientific consensus on anthropogenic climate change (CC) is undisputed now for a long time, public discourse is still divided. Considering the case of Europe, in the majority of countries, an influential right-wing party propagates climate scepticism or outright denial. Our work addresses the German party, which represents the second-largest faction in the federal parliament. In order to make the partys discourse on CC accessible to NLP-based analyses, we are compiling the, a collection of parliamentary speeches and other material from various sources. We report on first analyses of this new dataset using sentiment and emotion analysis as well as classification of populist language, which demonstrate clear differences to the language use of the two largest competing parties (social democrats and conservatives). We make the corpus available to enable further studies of the party{'}s rhetoric on CC topics."
}