Traits versus Issues
How Female Candidates Shape Coverage of Senate and Gubernatorial Races
Bibliographic Data
| ID | 6340201 |
|---|---|
| Authors | Johanna Dunaway (0000-0003-3975-5227, Louisiana State University, Baton Rouge, LA, USA), Regina G Lawrence (0000-0002-6559-2460, The University of Texas at Austin, TX, USA), Melody Rose (Oregon University System, Portland, OR, USA), Christel Weber (0009-0009-5045-1778, University of Arizona), Christopher R Weber (0000-0002-2117-3184, University of Arizona, Tucson, AZ, USA) |
| Year | 2013 |
| Volume | 66 |
| Issue | 3 |
| Pages | 715-726 |
| Publication date | 2013-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Political Research Quarterly (JOURNAL) |
| Journal identifiers | ISSN: 1065-9129 • E-ISSN: 1938-274X |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1065912913491464 |
| OpenAlex | W2086570785 |
| Language | EN |
| Citations received | 48 |
| References cited | 54 |
As female candidates may face greater challenges in establishing their “qualifications” for office, coverage of their personal traits may be pernicious, because it tends to de-emphasize substantive qualifications. This study focuses on relative amounts of trait and issue coverage of contests with and without women candidates. We find that races with female candidates yield more coverage of traits than male versus male contests and races with female candidates are less likely to generate issue coverage than trait coverage. Candidate gender and office interact; female gubernatorial candidates are most likely to garner trait coverage and least likely to engender issue coverage
Face (sociological concept · Media coverage · Political science · Social science · Sociology · Trait · Computer Science · Electoral Systems and Political Participation · Gender Politics and Representation · Psychology · Social Psychology · Sport and Mega-Event Impacts
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Framing the Fight
The Mass Media and American Politics
| Unique citing works | 48 |
|---|---|
| Citations per year | 4 |
| Citation span | 2014 - 2026 (13) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 48 |