Ileana Zeler , Joan Ramon Rodriguez-Amat , Riasat Muhammad Amir
{"title":"A computational analysis of the media coverage of the European Parliament's ‘green' Designation on sustainable energy and climate change","authors":"Ileana Zeler , Joan Ramon Rodriguez-Amat , Riasat Muhammad Amir","doi":"10.1016/j.enpol.2025.114592","DOIUrl":null,"url":null,"abstract":"<div><div>Energy is pivotal to the sustainable development agenda for 2030. In this context, nuclear energy emerges as a potential solution for renewable energy development and carbon dioxide mitigation. However, the Russian invasion of Ukraine in 2022 exacerbated global energy concerns, leading to a surge in fuel prices and an economic slowdown, prompting the European Parliament to designate nuclear energy investments as \"green.\" Despite the potential of nuclear energy in advancing sustainability goals, public perception, influenced by historical negative narratives and media coverage, remains a challenge. This article examines the impact of the European Parliament's decision on the news flow and coverage about sustainability, climate change, and nuclear energy in the global media. By analysing seven months of global news coverage, a total of 7822 news stories in English were selected. Through descriptive analysis and unsupervised topic modelling Latent Dirichlet Allocation (LDA) machine learning techniques, this study explores trends in news content and coverage, shedding light on the intersection of energy policies, and media coverage.</div></div>","PeriodicalId":11672,"journal":{"name":"Energy Policy","volume":"202 ","pages":"Article 114592"},"PeriodicalIF":9.3000,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0301421525000990","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Energy is pivotal to the sustainable development agenda for 2030. In this context, nuclear energy emerges as a potential solution for renewable energy development and carbon dioxide mitigation. However, the Russian invasion of Ukraine in 2022 exacerbated global energy concerns, leading to a surge in fuel prices and an economic slowdown, prompting the European Parliament to designate nuclear energy investments as "green." Despite the potential of nuclear energy in advancing sustainability goals, public perception, influenced by historical negative narratives and media coverage, remains a challenge. This article examines the impact of the European Parliament's decision on the news flow and coverage about sustainability, climate change, and nuclear energy in the global media. By analysing seven months of global news coverage, a total of 7822 news stories in English were selected. Through descriptive analysis and unsupervised topic modelling Latent Dirichlet Allocation (LDA) machine learning techniques, this study explores trends in news content and coverage, shedding light on the intersection of energy policies, and media coverage.
期刊介绍:
Energy policy is the manner in which a given entity (often governmental) has decided to address issues of energy development including energy conversion, distribution and use as well as reduction of greenhouse gas emissions in order to contribute to climate change mitigation. The attributes of energy policy may include legislation, international treaties, incentives to investment, guidelines for energy conservation, taxation and other public policy techniques.
Energy policy is closely related to climate change policy because totalled worldwide the energy sector emits more greenhouse gas than other sectors.