Introduction

Greenwashing—making false or misleading environmental claims—is rampant. NLP models can detect greenwashing by analyzing corporate sustainability reports for language misalignments: claims not backed by data, vague language, inconsistencies with past statements, or discrepancies between ambitious claims and modest actions.

Greenwashing Detection Approach

Extract claims from sustainability reports (e.g., "40% emissions reduction by 2030"). Cross-reference with historical baseline data and interim progress. Use NLP to identify hedged language ("aims to," "strives for" vs. "will achieve"). Train classifiers on known greenwashers vs legitimate ESG leaders to identify suspicious language patterns.

Investor Protection

Identify companies with high greenwashing risk. Avoid these companies or discount valuations for ESG risk. Support companies with authentic ESG commitments and transparent reporting.

Conclusion

NLP greenwashing detection protects ESG investors from misleading corporate claims.