| Title |
Good and Bad in the Hands of Politicians: Spontaneous Gestures during Positive and Negative Speech
|
|---|---|
| Published in |
PLOS ONE, July 2010
|
| DOI | 10.1371/journal.pone.0011805 |
| Pubmed ID | |
| Authors |
Daniel Casasanto, Kyle Jasmin |
| Abstract |
According to the body-specificity hypothesis, people with different bodily characteristics should form correspondingly different mental representations, even in highly abstract conceptual domains. In a previous test of this proposal, right- and left-handers were found to associate positive ideas like intelligence, attractiveness, and honesty with their dominant side and negative ideas with their non-dominant side. The goal of the present study was to determine whether 'body-specific' associations of space and valence can be observed beyond the laboratory in spontaneous behavior, and whether these implicit associations have visible consequences. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 40% |
| Poland | 1 | 20% |
| Côte d'Ivoire | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 40% |
| Unknown | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| United Kingdom | 3 | 2% |
| Portugal | 2 | 1% |
| Germany | 2 | 1% |
| Chile | 1 | <1% |
| Italy | 1 | <1% |
| Denmark | 1 | <1% |
| Netherlands | 1 | <1% |
| Luxembourg | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 144 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 28% |
| Researcher | 21 | 13% |
| Student > Bachelor | 20 | 12% |
| Student > Master | 19 | 12% |
| Professor | 12 | 7% |
| Other | 41 | 25% |
| Unknown | 3 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 72 | 45% |
| Linguistics | 22 | 14% |
| Social Sciences | 12 | 7% |
| Computer Science | 9 | 6% |
| Business, Management and Accounting | 7 | 4% |
| Other | 25 | 16% |
| Unknown | 14 | 9% |