Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 297

The DOI matches its Crossref record.

Women Candidates in the News: An Examination of Gender Differences in U.S. Senate Campaign Coverage

Kahn, Kim Fridkin, Goldenberg, Edie N.·1991·Public Opinion Quarterly

Abstract

By covering male and female candidates differently, the news media may influence the success of female candidates for public office. A content analysis was conducted to assess potentially important differences in the newspaper coverage of a sample of male and female U.S. Senate candidates in the elections of 1982–86. The results of the study show that female candi dates for the U.S. Senate are treated differently by the press. Female candidates receive less news coverage and the coverage they do receive concentrates more on their viability and less on their issue positions. Furthermore, female candidates' viability coverage is more negative than that of their male counterparts. Given these gender differences in press treatment, we would expect voters' recognition of male candidates to exceed that of female candidates and we would also expect evaluations of female candidates to be tied more closely to their perceived viabil ity. Because female candidates are often considered noncompetitive by the press, this attention to the horserace may lead voters to develop more negative evaluations of female candidates. These results suggest that current patterns of press coverage may serve as a critical obstacle for women running for the U.S. Senate.

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 · 10.1086/269251

Cites

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

Cited by

See all 297

Metadata

Authors
Kahn, K. F., & Goldenberg, E. N.
Venue
Public Opinion Quarterly
Published
1991
Volume
55
Issue
2
Pages
180
ISSN
0033-362X (ISSN-L)
OpenAlex
W2100284899
Cited by
297
References
0
FWCI
6.52
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: Women Candidates in the News: An Examination of Gender Differences in U.S. Senate Campaign Coverage. https://app.cochat.ai/papers/10.1086/269251
The paper
Kahn, K. F., & Goldenberg, E. N. (1991). Women Candidates in the News: An Examination of Gender Differences in U.S. Senate Campaign Coverage. Public Opinion Quarterly. https://doi.org/10.1086/269251

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.