News Story Descriptions and the Public's Opinions of Political Candidates
Bibliographic Data
| ID | 7499646 |
|---|---|
| Authors | Kihan Kim (0000-0003-1912-2756, School of Communication at the University of Hartford, corresponding author), Maxwell Mccombs (0000-0001-5292-0958, The Jesse H. Jones Centennial Chair in Communication in the School of Journalism at the University of Texas at Austin.) |
| Year | 2007 |
| Volume | 84 |
| Issue | 2 |
| Pages | 299-314 |
| Publication date | 2007-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journalism & Mass Communication Quarterly (JOURNAL) |
| Journal identifiers | ISSN: 1077-6990 • E-ISSN: 2161-430X |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/107769900708400207 |
| OpenAlex | W2031066108 |
| Language | EN |
| Citations received | 45 |
| References cited | 10 |
Combining a telephone survey of a probability sample of residents in the Austin, Texas, metropolitan area and a content analysis of the local daily newspaper, this study replicates and extends prior research on attribute agenda setting with an emphasis on the attribute priming consequences of agenda-setting effects for opinions about candidates in the 2002 Texas gubernatorial and U.S. senatorial elections. Correlation and regression analyses support the central proposition of attribute agenda setting and indicate that attributes positively or negatively covered in the news are related to opinions about each candidate. Attributes receiving extensive media attention were more likely to affect attitudinal judgments for heavy newspaper readers than for light newspaper readers
Advertising · Affect (linguistics · Business · Media studies · Metropolitan area · Newspaper · Political science · Politics · Priming (agriculture · Proposition · Public relations · Sample (material · Sociology · Climate Change Communication and Perception · Media Studies and Communication · Psychology · Social Media and Politics · History · Law · Social Psychology
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| Unique citing works | 45 |
|---|---|
| Citations per year | 2,65 |
| Citation span | 2009 - 2026 (18) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 44 |