Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 273

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

Hostile News: Partisan Use and Perceptions of Cable News Programming

Coe, Kevin, Tewksbury, David, Bond, Bradley J., Drogos, Kristin L., Porter, Robert W., Yahn, Ashley, Zhang, Yuanyuan·2008·Journal of Communication

Abstract

Two trends have marked the development of U.S. cable television news in recent years: a blurring of hard and soft news and an increase in overt partisanship. This paper reports the results of 2 studies that provide insight into the nature and impact of these trends. The first study analyzes national survey data to identify the factors that lead political partisans to choose particular cable television news networks and programs. The second study employs experimental methods to demonstrate how viewers’ partisan leanings influence their perceptions of content from CNN, Fox News, and The Daily Show. We found evidence of a relative hostile media phenomenon, in which partisans perceive more bias in programs that do not align with their own political perspective. Furthermore, the results indicate that partisanship informs viewers’ perceptions of news content as interesting and informative.

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 · 10.1111/j.1460-2466.2008.00381.x

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 273

Metadata

Authors
Coe, K., Tewksbury, D., Bond, B. J., Drogos, K. L., Porter, R. W., Yahn, A., & Zhang, Y.
Venue
Journal of Communication
Published
2008-06
Volume
58
Issue
2
Pages
201-219
ISSN
  • 0021-9916 (ISSN-L)
  • 1460-2466
OpenAlex
W2139770595
Cited by
273
References
2
FWCI
25.55
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: Hostile News: Partisan Use and Perceptions of Cable News Programming. https://app.cochat.ai/papers/10.1111/j.1460-2466.2008.00381.x
The paper
Coe, K., Tewksbury, D., Bond, B. J., Drogos, K. L., Porter, R. W., Yahn, A., & Zhang, Y. (2008). Hostile News: Partisan Use and Perceptions of Cable News Programming. Journal of Communication. https://doi.org/10.1111/j.1460-2466.2008.00381.x

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.