Greenwashing Analysis: A Data Science Approach to Evaluating ESG Integrity 

Project Summary

As ESG information becomes increasingly important to investors, regulators, and the public, corporate sustainability claims must be credible, evidence-based, and reflect genuine action.  

Developed through collaboration between academic researchers and industry partners, the project builds tools to assess how a company’s ESG claims align with financial and media perceptions. We are building tools to assess how a company’s ESG claims align with financial and media perceptions. 

Our interactive web platform will analyse ESG reports, real-time news sentiment using machine learning (ML) models, and market data to detect potential misalignment. It will offer dynamic risk scores, benchmarking tools, and a simulation feature to show how ESG strategies could impact company’s greenwashing risk and market trust. 

By making these insights accessible to investors, regulators, and financial institutions, the project supports more informed decision-making and encourages transparent, accountable ESG reporting. 

Meet The Team

Dr Fahimeh Jafari 

University of East London 

Senior Lecturer in Computer Science, Postgraduate Research Lead, Associate Director of UEL FinTech Centre

Dr Michael Harrison       

University of East London 

Senior Lecturer in Economics and Finance 

Dr Nitish Chooramun   

University of East London 

Lecturer in Computer Science and Digital Technologies