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Hidden Information Behind Fancy Words: A Comparative Data-Driven Analysis of ESG Reports

Research output: Creative and Literary Works in Non - textual FormRGC 43 - Film, video

Abstract

Does a high Environmental, Social, and Governance (ESG) score actually mean a company is doing good, or just talking well? In this video, we evaluate 20 years of ESG frameworks to uncover a major gap between corporate rhetoric and real-world impact. We analysed the ESG reports of 15 market leaders across five industries using NLP techniques and found that top ESG ratings rarely correlate with financial stability. We also highlight a “reporting imbalance” where Big Tech prioritizes environmental metrics while systematically marginalizing the governance dimension. Furthermore, our sentiment analysis results reveal that corporate discourse remains overwhelmingly positive regardless of actual output. Finally, a case study of NVIDIA highlights potential flaws in third-party rating methodologies. Through this project, we would like to advocate for a transition to standardized, data-driven frameworks that reduce corporate’s selective reporting and prioritize longitudinal physical evidence over subjective disclosure.
Original languageEnglish
PublisherIEEE
Media of outputOnline
Publication statusPublished - 21 Apr 2026
EventThe 2026 Visual Data Storytelling Contest - Sydney, Australia
Duration: 20 Apr 202623 Apr 2026
https://visstory.github.io/

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  • Honorable Mention Award

    HAN, W. (Recipient), CHEN, Y. (Recipient), LUO, Y. (Recipient) & ZHANG, X. (Recipient), 21 Apr 2026

    Prize: RGC 64B - Prizes and awards

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