Greenwatch-shing: Using AI to detect greenwashing

Author

Theodor Florian COJOIANU, Singapore Management UniversityFollow
Andreas G. F. HOEPNER
Georgiana IFRIM
Yanan LIN

Publication Type

Journal Article

Version

publishedVersion

Publication Date

6-2020

Abstract

The rise of fake news has resulted in a wide discrepancy between the attention given to the scientific understanding of an issue versus misinformed and sometimes purposefully disinformed claims (false information that is purposely spread to deceive people) coming from outside the scientific community. One such example relates to climate change, where a nature study shows that climate change contrarians are featured in 49% more media articles than scientists, despite the overwhelming consensus in the scientific community over the significance of anthropogenic climate change. In addition, many companies worldwide make inaccurate and often misleading claims about their environmental and social performance, which in turn has led to the widespread practice of greenwashing. This article explores how greenwashing can be conceptualised and applied in the context of judging company claims related to climate change mitigation.

Keywords

greenwashing, machine learning, artificial intelligence

Discipline

Artificial Intelligence and Robotics | Communication Technology and New Media

Research Areas

Integrative Research Areas

Publication

Accountancy Plus

First Page

50

Last Page

51

Citation

COJOIANU, Theodor Florian; HOEPNER, Andreas G. F.; IFRIM, Georgiana; and LIN, Yanan. Greenwatch-shing: Using AI to detect greenwashing. (2020). Accountancy Plus. 50-51.
Available at: https://ink.library.smu.edu.sg/cis_research/380

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

http://hdl.handle.net/10197/25372