Combat Greenwashing with GoalSpotter: Automatic Sustainability Objective Detection in Heterogeneous Reports

Sustainable development is nowadays a prominent factor for the public. As a result, companies publish their sustainability visions and strategies in various reports to show their commitment to saving the environment and promoting social progress. However, not all statements in these sustainability reports are fact-based. When a company tries to mislead the public with its non-fact-based sustainability claims, greenwashing happens. To combat greenwashing, society needs effective automated approaches to identify the sustainability claims of companies in their heterogeneous reports.

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Publication Details

Published
2024-10-20
DOI
https://doi.org/10.1145/3627673.3680110
Citations
2
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.69
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article

Combat Greenwashing with GoalSpotter: Automatic Sustainability Objective Detection in Heterogeneous Reports

Mohammad Mahdavi, Ramin Baghaei Mehr, Tom Debus
2 citations
Advanced Text Analysis Techniques
0.69
article

Combat Greenwashing with GoalSpotter: Automatic Sustainability Objective Detection in Heterogeneous Reports

Mohammad Mahdavi, Ramin Baghaei Mehr, Tom Debus
article en
2 citations

Abstract

Sustainable development is nowadays a prominent factor for the public. As a result, companies publish their sustainability visions and strategies in various reports to show their commitment to saving the environment and promoting social progress. However, not all statements in these sustainability reports are fact-based. When a company tries to mislead the public with its non-fact-based sustainability claims, greenwashing happens. To combat greenwashing, society needs effective automated approaches to identify the sustainability claims of companies in their heterogeneous reports.

University of Applied Sciences Potsdam (DE)
Responsible consumption and production
Openalex Percentile: Top 24%
Advanced Text Analysis Techniques
0.69
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