Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism

Shraey Bhatia; Jey Han Lau; Timothy Baldwin

NAACL 2021long11 citations

Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism

Shraey Bhatia, Jey Han Lau, Timothy Baldwin

Abstract

Neutralisation techniques, e.g. denial of responsibility and denial of victim, are used in the narrative of climate change scepticism to justify lack of action or to promote an alternative view. We first draw on social science to introduce the problem to the community of nlp, present the granularity of the coding schema and then collect manual annotations of neutralised techniques in text relating to climate change, and experiment with supervised and semi- supervised BERT-based models.

BibTeX

@inproceedings{bhatia-etal-2021-automatic,
    title = "Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism",
    author = "Bhatia, Shraey  and
      Lau, Jey Han  and
      Baldwin, Timothy",
    editor = "Toutanova, Kristina  and
      Rumshisky, Anna  and
      Zettlemoyer, Luke  and
      Hakkani-Tur, Dilek  and
      Beltagy, Iz  and
      Bethard, Steven  and
      Cotterell, Ryan  and
      Chakraborty, Tanmoy  and
      Zhou, Yichao",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.naacl-main.175/",
    doi = "10.18653/v1/2021.naacl-main.175",
    pages = "2167--2175"
}