DeepGreen: Effective LLM-Driven Greenwashing Monitoring System Designed for Empirical Testing — Evidence from China

Key Points

• DeepGreen effectively identifies instances of greenwashing, improving monitoring systems.
• The system utilizes a large language model that achieved a 92% accuracy rate in identifying misleading claims.
• Development involved empirical testing across various environmental claims made in China.
• This monitoring system may support organizations in ensuring transparency and accountability in sustainability practices.