Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 361

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Are Issue-Cycles Culturally Constructed? A Comparison of French and American Coverage of Global Climate Change

Brossard, Dominique, Shanahan, James, McComas, Katherine·2004·Mass Communication and Society

Abstract

We present a cross-cultural comparison of newspaper coverage of global warming in France and in the United States (1987-1997) as a case study to analyze the impact of culturally bound journalistic practices on media attention cycles. Based on the results of a content analysis, we show that France's coverage was more event-based, focused more on international relations, and presented a more restricted range of viewpoints on global warming than American coverage did. American coverage emphasized conflicts between scientists and politicians. Downs's "quot;media-attention cycle,"quot; which is apparent for the American coverage, does not manifest as visibly in French coverage. Our findings suggest that research on media coverage of global environmental issues needs to move beyond studies at the national level; cross-cultural comparisons are essential to understand how different news regimes might affect public opinion.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1207/s15327825mcs0703_6

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 361

Metadata

Authors
Brossard, D., Shanahan, J., & McComas, K.
Venue
Mass Communication and Society
Published
2004-07
Volume
7
Issue
3
Pages
359-377
ISSN
  • 1520-5436 (ISSN-L)
  • 1532-7825
OpenAlex
W2014937241
Cited by
361
References
2
FWCI
10.48
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Are Issue-Cycles Culturally Constructed? A Comparison of French and American Coverage of Global Climate Change. https://app.cochat.ai/papers/10.1207/s15327825mcs0703_6
The paper
Brossard, D., Shanahan, J., & McComas, K. (2004). Are Issue-Cycles Culturally Constructed? A Comparison of French and American Coverage of Global Climate Change. Mass Communication and Society. https://doi.org/10.1207/s15327825mcs0703_6

Data sources

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.