Corporate Greenwashing Detection in Text - a Survey

• URL: http://arxiv.org/abs/2502.07541v1
• Date: Tue, 11 Feb 2025 13:28:56 GMT
• Title: Corporate Greenwashing Detection in Text - a Survey
• Authors: Tom Calamai, Oana Balalau, Théo Le Guenedal, Fabian M. Suchanek,
• Abstract summary: Greenwashing is an effort to mislead the public about the environmental impact of an entity, such as a state or company. We provide a comprehensive survey of the scientific literature addressing natural language processing methods to identify greenwashing.
• Score: 5.958302080525902
• License:
• Abstract: Greenwashing is an effort to mislead the public about the environmental impact of an entity, such as a state or company. We provide a comprehensive survey of the scientific literature addressing natural language processing methods to identify potentially misleading climate-related corporate communications, indicative of greenwashing. We break the detection of greenwashing into intermediate tasks, and review the state-of-the-art approaches for each of them. We discuss datasets, methods, and results, as well as limitations and open challenges. We also provide an overview of how far the field has come as a whole, and point out future research directions.

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