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Global warming’s five Germanys: A typology of Germans’ views on climate change and patterns of media use and information

Open access
Metag, Julia, Füchslin, Tobias, Schäfer, Mike S.·2017·Public Understanding of Science

Abstract

People’s attitudes toward climate change differ, and these differences may correspond to distinct patterns of media use and information seeking. However, studies extending analyses of attitude types and their specific media diets to countries beyond the United States are lacking. We use a secondary analysis of survey data from Germany to identify attitudes toward climate change among the German public and specify those segments of the population based on their media use and information seeking. Similar to the Global Warming’s Six Americas study, we find distinct attitudes (Global Warming’s Five Germanys) that differ in climate change–related perceptions as well as in media use and communicative behavior. These findings can help tailor communication campaigns regarding climate change to specific audiences.

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Crossref · 10.1177/0963662515592558

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Metadata

Authors
Metag, J., Füchslin, T., & Schäfer, M. S.
Venue
Public Understanding of Science
Published
2015-07-03
Volume
26
Issue
4
Pages
434-451
ISSN
  • 0963-6625 (ISSN-L)
  • 1361-6609
OpenAlex
W1957261757
Cited by
398
References
26
FWCI
39.87
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Global warming’s five Germanys: A typology of Germans’ views on climate change and patterns of media use and information. https://app.cochat.ai/papers/10.1177/0963662515592558
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Metag, J., Füchslin, T., & Schäfer, M. S. (2017). Global warming’s five Germanys: A typology of Germans’ views on climate change and patterns of media use and information. Public Understanding of Science. https://doi.org/10.1177/0963662515592558

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.