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Not Everything Is Greenwashing: Limitations of Automatic Analysis of Sustainability Reports, and a Proposal

Proceedings of the 2nd Workshop on Ecology, Environment, and Natural Language Processing

DOI:10.63317/2jfjim27sf47

Abstract

Sustainability reports (SRs) are essential for holding companies accountable, and they are required by law. They also serve as a key communication tool through which companies shape their image and disclose non-financial information. However, the rapid growth of these reports, their lack of standardisation, and the frequent use of strategically ambiguous language make it difficult for stakeholders to evaluate whether sustainability claims are genuine or deceptive. Previous work has focused on extracting misleading climate-related content and identifying greenwashing. We argue that this is not enough, because deception does not only appear in overtly false or misleading green claims, and it often emerges through a variety of subtle linguistic strategies. We therefore propose the development of a framework based on deception theories to examine how deceptive language operates in SRs, and we outline the challenges that should be seen as an invitation for future research. Keywords: Deception, Deceptive Language, Sustainability Reports, Greenwashing

Details

Paper ID
lrec2026-ws-nlp4ecology-14
Pages
pp. 154-162
BibKey
uribesilva-etal-2026-not
Editors
Francesca Grasso, Valerio Basile, Cristina Bosco, Muhammad Okky Ibrohim, Maria Skeppstedt, Manfred Stede
Publisher
European Language Resources Association (ELRA)
ISSN
N/A
ISBN
N/A
Workshop
Proceedings of the 2nd Workshop on Ecology, Environment, and Natural Language Processing
Location
Palma, Mallorca, Spain
Date
11 - 16 May 2026

Authors

  • MU

    Maria Pilar Uribe Silva

  • Rv

    Rik van Noord

  • MN

    Malvina Nissim

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