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The social contagion of temporal discounting in small social networks

Decisions often require a tradeoff between immediate and long-term gratification. How individuals resolve such tradeoffs reflects constructs such as temporal discounting, the degree that individuals devalue delayed rewards. Recent research has started to focus on temporal decisions made in collabora...

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Autores principales: Bixter, Michael T., Luhmann, Christian C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861223/
https://www.ncbi.nlm.nih.gov/pubmed/35190923
http://dx.doi.org/10.1186/s41235-020-00249-y
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author Bixter, Michael T.
Luhmann, Christian C.
author_facet Bixter, Michael T.
Luhmann, Christian C.
author_sort Bixter, Michael T.
collection PubMed
description Decisions often require a tradeoff between immediate and long-term gratification. How individuals resolve such tradeoffs reflects constructs such as temporal discounting, the degree that individuals devalue delayed rewards. Recent research has started to focus on temporal decisions made in collaborative contexts (e.g., dyads, small groups). Results suggest that directly interacting with others leads to revisions in preferences, such that decision makers become more similar to their collaborative partners over time (e.g., more patient following collaboration with a patient other). What remains to be seen is whether this social influence extends to indirect social effects, such as when an individual influences another’s preferences through a shared collaborative partner. In the current study, the focus was on decisions regarding hypothetical monetary rewards. Groups of three participated in a collaborative decision-making chain, in which network member X collaborated with member Y, who then subsequently collaborated with member Z. Though network members X and Z never directly interacted, a significant indirect link was observed between member X’s pre-collaborative decision preferences and member Z’s post-collaborative decision preferences. These results demonstrate that temporal decision preferences can be transmitted through intervening connections in a small social network (i.e., social contagion), showing that indirect social influence can be empirically observed and measured in controlled environments. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s41235-020-00249-y.
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spelling pubmed-88612232022-03-02 The social contagion of temporal discounting in small social networks Bixter, Michael T. Luhmann, Christian C. Cogn Res Princ Implic Original Article Decisions often require a tradeoff between immediate and long-term gratification. How individuals resolve such tradeoffs reflects constructs such as temporal discounting, the degree that individuals devalue delayed rewards. Recent research has started to focus on temporal decisions made in collaborative contexts (e.g., dyads, small groups). Results suggest that directly interacting with others leads to revisions in preferences, such that decision makers become more similar to their collaborative partners over time (e.g., more patient following collaboration with a patient other). What remains to be seen is whether this social influence extends to indirect social effects, such as when an individual influences another’s preferences through a shared collaborative partner. In the current study, the focus was on decisions regarding hypothetical monetary rewards. Groups of three participated in a collaborative decision-making chain, in which network member X collaborated with member Y, who then subsequently collaborated with member Z. Though network members X and Z never directly interacted, a significant indirect link was observed between member X’s pre-collaborative decision preferences and member Z’s post-collaborative decision preferences. These results demonstrate that temporal decision preferences can be transmitted through intervening connections in a small social network (i.e., social contagion), showing that indirect social influence can be empirically observed and measured in controlled environments. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s41235-020-00249-y. Springer International Publishing 2021-03-03 /pmc/articles/PMC8861223/ /pubmed/35190923 http://dx.doi.org/10.1186/s41235-020-00249-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Bixter, Michael T.
Luhmann, Christian C.
The social contagion of temporal discounting in small social networks
title The social contagion of temporal discounting in small social networks
title_full The social contagion of temporal discounting in small social networks
title_fullStr The social contagion of temporal discounting in small social networks
title_full_unstemmed The social contagion of temporal discounting in small social networks
title_short The social contagion of temporal discounting in small social networks
title_sort social contagion of temporal discounting in small social networks
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861223/
https://www.ncbi.nlm.nih.gov/pubmed/35190923
http://dx.doi.org/10.1186/s41235-020-00249-y
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