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Cited by 451

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Constructing climate change: claims and frames in US news coverage of an environmental issue

Trumbo, Craig·1996·Public Understanding of Science

Abstract

An empirical content analysis of a decade of coverage of climate change in five national newspapers in the US is presented. The analysis is based on the perspective, drawn from social problems theory, that the content of news discourse can be understood in terms of claims-making and framing. Climate change is also discussed in terms of Downs' issue-attention cycle, a five-stage model describing the rise and fall of social attention to important issues. Climate change, as a news story, is described as exhibiting three phases that are related to the sources quoted and the frames presented in the news coverage. Results of the analysis show that scientists tend to be associated with frames emphasizing problems and causes, while politicians and special interests tend to be associated with frames emphasizing judgments and remedies. Results also show how scientists declined as news sources as the issue became increasingly politicized.

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Metadata

Authors
Trumbo, C.
Venue
Public Understanding of Science
Published
1996-07
Volume
5
Issue
3
Pages
269-283
ISSN
  • 0963-6625 (ISSN-L)
  • 1361-6609
OpenAlex
W2339288052
Cited by
451
References
1
FWCI
4.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Constructing climate change: claims and frames in US news coverage of an environmental issue. https://app.cochat.ai/papers/10.1088/0963-6625/5/3/006
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Trumbo, C. (1996). Constructing climate change: claims and frames in US news coverage of an environmental issue. Public Understanding of Science. https://doi.org/10.1088/0963-6625/5/3/006

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.