Fake news detection for sustainable supply chain management using deceptive tones: an application of ML, NLP and Explainable AI
Pushpesh Pant, Rohit Kumar Yadav, Muhammed Niyas KP, Krishna Kumar Dadsena, Saurabh Pratap, Amit Sachan · Enterprise Information Systems · 2025
This study develops a novel framework to detect deceptive tones related to sustainable supply chain (SSC) in annual disclosure. Using natural language processing, machine learning, and explainable AI, the model extracts 15 linguistic features from annual reports to compute a deceptive score related to SSC. The findings reveal a positive relationship between deceptive scores and increased word count, and therefore, suggest strategic manipulation in SSC narratives. In essence, the present paper develops a robust tool that can be integrated into ERP/CRM systems to enable automated detection of SSC-related misleading claims, making it highly valuable for investors, regulators, and enterprises.