Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI

Angioni, Simone; Consoli, Sergio; Dessì, Danilo; Osborne, Francesco; Reforgiato Recupero, Diego and Salatino, Angelo (2024). Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI. In: 2nd International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data, SemTech4STLD 2024, 26 May 2024, Hersonissos.

URL: https://ceur-ws.org/Vol-3697/paper5.pdf

Abstract

This paper explores the growing importance of Environmental, Social, and Governance (ESG) criteria in financial assessments and conducts an AI-driven analysis of ESG concepts’ evolution from 1980 to 2022. Focusing on media sources from the United States and the United Kingdom, the study utilizes the Dow Jones News Article dataset for a comprehensive analysis focused on the environmental domain. The research introduces an innovative information extraction technique, transforming extracted data into a knowledge graph. Key findings highlight recent trends in ESG aspects, with a notable emphasis on climate change, renewable energy sources, and biodiversity conservation in the environmental dimension.