Behavior notwithstanding
Person perception and news photographs of the two leading candidates in the 2016 presidential election
Bibliographic Data
| ID | 21560320 |
|---|---|
| Authors | Nicole Smith Dahmen (0000-0001-5903-2515, Dahmen is an associate professor, School of Journalism and Communication, University of Oregon., corresponding author) |
| Year | 2020 |
| Volume | 41 |
| Issue | 2 |
| Pages | 146-159 |
| Publication date | 2020-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Newspaper Research Journal (JOURNAL) |
| Journal identifiers | ISSN: 0739-5329 • E-ISSN: 2376-4791 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0739532920919829 |
| OpenAlex | W3035783666 |
| Language | EN |
| Citations received | 3 |
| References cited | 20 |
Applying person perception theory, this research uses quantitative content analysis to analyze 1,183 newspaper photographs of the two leading candidates from the 2016 presidential election. Study findings show that there were statistically significant differences in the photographic presentations of Hillary Clinton and Donald Trump in the 2016 election, with Clinton pictured more favorably than Trump
Advertising · Business · Content analysis · Newspaper · Perception · Political science · Politics · Presidential election · Presidential system · Social science · Sociology · Law · Media Influence and Health · Media Studies and Communication · Psychology · Rhetoric and Communication Studies · Social Psychology
Content analysis
The Visual Image and the Political Image
Elected in 100 milliseconds
Republicans Prefer Republican-Looking Leaders
Camera as Witness, Image as Sign
A Study of Newsmagazine Photographs of the 1984 Presidential Campaign
Network TV News' Affective Framing of the Presidential Candidates
Newsmagazine Visuals and the 1988 Presidential Election
Newspaper Photographs and the 1996 Presidential Election
Gain and loss in attraction
Point of view and perceptions of causality
| Citations per year | 0.6 |
|---|---|
| Citation span | 2021 - 2025 (5) |
| Highly cited | No |