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ESG Tendencies From News Investigated by AI Trained by Human Intelligence

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  • Chao Li
  • Alexander Ryota Keeley
  • Shutaro Takeda
  • Daikichi Seki
  • Shunsuke Managi

Abstract

We create a large language model with high accuracy to investigate the relatedness between 12 environmental, social, and governance (ESG) topics and more than 2 million news reports. The text match pre‐trained transformer (TMPT) with 138,843,049 parameters is built to probe whether and how much a news record is connected to a specific topic of interest. The TMPT, based on the transformer structure and a pre‐trained model, is an artificial intelligence model trained by more than 200,000 academic papers. The cross‐validation result reveals that the TMPT's accuracy is 85.73%, which is excellent in zero‐shot learning tasks. In addition, combined with sentiment analysis, our research monitors news attitudes and tones toward specific ESG topics daily from September 2021 to September 2023. The results indicate that the media is increasing discussion on social topics, while the news regarding environmental issues is reduced. Moreover, toward almost all topics, the attitudes are gradually becoming positive. Our research highlights the temporal shifts in public perception regarding 12 key ESG issues:ESG has been incrementally accepted by the public. These insights are invaluable for policymakers, corporate leaders, and communities as they navigate sustainable decision‐making.

Suggested Citation

  • Chao Li & Alexander Ryota Keeley & Shutaro Takeda & Daikichi Seki & Shunsuke Managi, 2025. "ESG Tendencies From News Investigated by AI Trained by Human Intelligence," Business Strategy and the Environment, Wiley Blackwell, vol. 34(2), pages 1880-1895, February.
    • Handle: RePEc:bla:bstrat:v:34:y:2025:i:2:p:1880-1895
    DOI: 10.1002/bse.4089
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    1. Gunther Capelle-Blancard & Aurélien Petit, 2019. "Every Little Helps? ESG News and Stock Market Reaction," Journal of Business Ethics, Springer, vol. 157(2), pages 543-565, June.
    2. Rajna Gibson Brandon & Simon Glossner & Philipp Krueger & Pedro Matos & Tom Steffen, 2022. "Do Responsible Investors Invest Responsibly? [Why and how investors use ESG information: evidence from a global survey]," Review of Finance, European Finance Association, vol. 26(6), pages 1389-1432.
    3. Ryan C. Moore & Ross Dahlke & Jeffrey T. Hancock, 2023. "Exposure to untrustworthy websites in the 2020 US election," Nature Human Behaviour, Nature, vol. 7(7), pages 1096-1105, July.
    4. Dang, Tung Lam & Moshirian, Fariborz & Zhang, Bohui, 2015. "Commonality in news around the world," Journal of Financial Economics, Elsevier, vol. 116(1), pages 82-110.
    5. Baier, P. & Berninger, M. & Kiesel, F., 2020. "Environmental, social and governance reporting in annual reports: A textual analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 120592, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Philippe Le Billon & Païvi Lujala & Devyani Singh & Vance Culbert & Berit Kristoffersen, 2021. "Fossil fuels, climate change, and the COVID-19 crisis: pathways for a just and green post-pandemic recovery," Climate Policy, Taylor & Francis Journals, vol. 21(10), pages 1347-1356, November.
    7. Fiaschi, Davide & Giuliani, Elisa & Nieri, Federica & Salvati, Nicola, 2020. "How bad is your company? Measuring corporate wrongdoing beyond the magic of ESG metrics," Business Horizons, Elsevier, vol. 63(3), pages 287-299.
    8. Bennani, Hamza, 2023. "Effect of monetary policy shocks on the racial unemployment rates in the US," Economic Systems, Elsevier, vol. 47(1).
    9. Rognone, Lavinia & Hyde, Stuart & Zhang, S. Sarah, 2020. "News sentiment in the cryptocurrency market: An empirical comparison with Forex," International Review of Financial Analysis, Elsevier, vol. 69(C).
    10. Thanh Tiep Le & X.V. Vo & V.G. Venkatesh, 2022. "Role of Green Innovation and Supply Chain Management in Driving Sustainable Corporate Performance," Post-Print hal-04452852, HAL.
    11. Brandt, Michael W. & Gao, Lin, 2019. "Macro fundamentals or geopolitical events? A textual analysis of news events for crude oil," Journal of Empirical Finance, Elsevier, vol. 51(C), pages 64-94.
    12. Dang, Tung Lam & Dang, Viet Anh & Moshirian, Fariborz & Nguyen, Lily & Zhang, Bohui, 2019. "News media coverage and corporate leverage adjustments," Journal of Banking & Finance, Elsevier, vol. 109(C).
    13. Gregory, Richard Paul, 2022. "ESG scores and the response of the S&P 1500 to monetary and fiscal policy during the Covid-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 446-456.
    14. Yu, Haixu & Liang, Chuanyu & Liu, Zhaohua & Wang, He, 2023. "News-based ESG sentiment and stock price crash risk," International Review of Financial Analysis, Elsevier, vol. 88(C).
    15. Gil Cohen, 2023. "The impact of ESG risks on corporate value," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1451-1468, May.
    16. Tao Geng & Fan Jia & Wenju Cai & Lixin Wu & Bolan Gan & Zhao Jing & Shujun Li & Michael J. McPhaden, 2023. "Increased occurrences of consecutive La Niña events under global warming," Nature, Nature, vol. 619(7971), pages 774-781, July.
    17. Tobias Wekhof & Sébastien Houde, 2023. "Using narratives to infer preferences in understanding the energy efficiency gap," Nature Energy, Nature, vol. 8(9), pages 965-977, September.
    18. Fujii, Hidemichi & Iwata, Kazuyuki & Chapman, Andrew & Kagawa, Shigemi & Managi, Shunsuke, 2018. "An analysis of urban environmental Kuznets curve of CO2 emissions: Empirical analysis of 276 global metropolitan areas," Applied Energy, Elsevier, vol. 228(C), pages 1561-1568.
    19. Hadi Alizadeh & Ayyoob Sharifi & Safiyeh Damanbagh & Hadi Nazarnia & Mohammad Nazarnia, 2023. "Impacts of the COVID-19 pandemic on the social sphere and lessons for crisis management: a literature review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 2139-2164, July.
    20. Pekka Malo & Ankur Sinha & Pekka Korhonen & Jyrki Wallenius & Pyry Takala, 2014. "Good debt or bad debt: Detecting semantic orientations in economic texts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 782-796, April.
    21. Tuan-Hock Ng & Chun-Teck Lye & Kar-Hoong Chan & Ying-Zhee Lim & Ying-San Lim, 2020. "Sustainability in Asia: The Roles of Financial Development in Environmental, Social and Governance (ESG) Performance," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(1), pages 17-44, July.
    22. Piers Weston & Matthias Nnadi, 2023. "Evaluation of strategic and financial variables of corporate sustainability and ESG policies on corporate finance performance," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 13(2), pages 1058-1074, April.
    23. Anita, Mendiratta & Shveta, Singh & Yadav Surendra, S. & Arvind, Mahajan, 2023. "When do ESG controversies reduce firm value in India?," Global Finance Journal, Elsevier, vol. 55(C).
    24. Meng, Qingbin & Song, Xuan & Liu, Chunlin & Wu, Qun & Zeng, Hongchao, 2020. "The impact of block trades on stock price synchronicity: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 239-253.
    25. Philipp Baier & Marc Berninger & Florian Kiesel, 2020. "Environmental, social and governance reporting in annual reports: A textual analysis," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 29(3), pages 93-118, August.
    26. J. Lelieveld & J. S. Evans & M. Fnais & D. Giannadaki & A. Pozzer, 2015. "The contribution of outdoor air pollution sources to premature mortality on a global scale," Nature, Nature, vol. 525(7569), pages 367-371, September.
    27. Bang, Jeongseok & Ryu, Doojin & Yu, Jinyoung, 2023. "ESG controversies and investor trading behavior in the Korean market," Finance Research Letters, Elsevier, vol. 54(C).
    28. Margot Hurlbert, 2020. "Access and allocation: rights to water, sanitation and hygiene," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 20(2), pages 339-358, June.
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    JEL classification:

    • G0 - Financial Economics - - General
    • H0 - Public Economics - - General
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration

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