Looking the Part
Television Leads Less Informed Citizens to Vote Based on Candidates’ Appearance
Bibliographic Data
| ID | 6231801 |
|---|---|
| Authors | Gabriel S Lenz (0000-0001-7844-6027, Massachusetts Institute of Technology), Chappell Lawson (0000-0002-8174-8728, Massachusetts Institute of Technology) |
| Year | 2011 |
| Volume | 55 |
| Issue | 3 |
| Pages | 574-589 |
| Publication date | 2011-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Political Science (JOURNAL) |
| Journal identifiers | ISSN: 0092-5853 • E-ISSN: 1540-5907 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1540-5907.2011.00511.x |
| OpenAlex | W2147809861 |
| Language | EN |
| Citations received | 108 |
| References cited | 65 |
As long as there has been democratic government, skeptics have worried that citizens would base their choices and their votes on superficial considerations. A series of recent studies seems to validate these fears, suggesting that candidates who merely look more capable or attractive perform better in elections. In this article, we examine the underlying process behind the appearance effect. Specifically, we test whether the effect of appearance is more pronounced among those who know little about politics but are exposed to visual images of candidates. To do so, we combine appearance-based assessments of U.S. Senate and gubernatorial candidates with individual-level survey data measuring vote intent, political knowledge, and television exposure. Confirming long-standing concerns about image and television, we find that appealing-looking politicians benefit disproportionately from television exposure, primarily among less knowledgeable individuals
Advertising · Business · Political science · Evolutionary Psychology and Human Behavior · Gender, Feminism, and Media · Media, Gender, and Advertising · Psychology · Social Psychology
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| Unique citing works | 108 |
|---|---|
| Citations per year | 6,35 |
| Citation span | 2009 - 2026 (18) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 107 |