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Climate change in news media across the globe: an automated analysis of issue attention and themes in climate change coverage in 10 countries (2006–2018)

Hase, Valerie; Mahl, Daniela; Schäfer, Mike S; Keller, Tobias R (2021). Climate change in news media across the globe: an automated analysis of issue attention and themes in climate change coverage in 10 countries (2006–2018). Global Environmental Change, 70:102353.

Abstract

Climate change poses a challenge to countries across the world, with news media being an important source of information on the issue. To understand how and how much news media cover climate change, this study compares coverage in ten countries from the Global North and the Global South between 2006 and 2018 (N = 71,674). Based on a panel analysis, we illustrate that news media attention varies across countries and is often associated with political, scientific, and (partly) societal focusing events. Based on an automated content analysis, we also find that news media do not only cover ecological changes or climate science, but that they focus predominantly on the societal dimension of climate change: They emphasize how humans are aware of, affected by, battle, or cause climate change. Overall, the study illustrates important differences between the Global North and the Global South. While countries from the Global North cover climate change more frequently, countries from the Global South focus more on its challenges and implications for society at large, i.e., the societal dimension of climate change.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Department of Communication and Media Research
Dewey Decimal Classification:070 News media, journalism & publishing
Scopus Subject Areas:Physical Sciences > Global and Planetary Change
Social Sciences & Humanities > Geography, Planning and Development
Physical Sciences > Ecology
Physical Sciences > Management, Monitoring, Policy and Law
Uncontrolled Keywords:Climate change, media coverage, longitudinal analysis, computational, social science, automated content analysis, comparative research
Language:English
Date:6 September 2021
Deposited On:22 Sep 2021 14:15
Last Modified:26 Dec 2024 02:35
Publisher:Elsevier
ISSN:0959-3780
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1016/j.gloenvcha.2021.102353
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  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)
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