The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Are Social Value Orientations Expressed Automatically? Decision Making in the Dictator Game
Abstract
Drawing on the social intuitionist model, the authors studied the hypothesis that social value orientations are expressed automatically in behavior. They compared spontaneous and more deliberated decisions in the dictator game and confirmed that social values determine behavior when responses are based on the automatic system. By means of both mediation and experimental analyses, the authors further demonstrate that the automatic expression of social value orientations is mediated by perceptions of interpersonal closeness. A reasoning process can subsequently override these automatic responses and disconnect decisions from perceptions of interpersonal closeness. This results in lower levels of other-regarding behavior, at least for prosocials.
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Cites
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Cited by
Rand, D. G., & Nowak, M. A. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.06.003 · Cited by 1,308
Social heuristics shape intuitive cooperation
Rand, D. G., Peysakhovich, A., Kraft-Todd, G. T., Newman, G. E., Wurzbacher, O., Nowak, M. A., & Greene, J. D. (2014) · Nature Communications · doi:10.1038/ncomms4677 · Cited by 720
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Social Value Orientation: Theoretical and Measurement Issues in the Study of Social Preferences
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Rethinking fast and slow based on a critique of reaction-time reverse inference
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Metadata
- Authors
- Cornelissen, G., Dewitte, S., & Warlop, L.
- Venue
- Personality and Social Psychology Bulletin
- Publisher
- SAGE Publications
- Published
- 2011-04-25
- Volume
- 37
- Issue
- 8
- Pages
- 1080-1090
- ISSN
- 0146-1672 (ISSN-L)
- 1552-7433
- OpenAlex
- W2138190644
- Cited by
- 205
- References
- 13
- FWCI
- 29.19
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.