Real-world unexpected outcomes predict city-level mood states and risk-taking behavior.
Fluctuations in mood states are driven by unpredictable outcomes in daily life but also appear to drive consequential behaviors such as risk-taking. However, our understanding of the relationships between unexpected outcomes, mood, and risk-taking behavior has relied primarily upon constrained and a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2018-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0206923 |
| _version_ | 1818725588969455616 |
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| author | A Ross Otto Johannes C Eichstaedt |
| author_facet | A Ross Otto Johannes C Eichstaedt |
| author_sort | A Ross Otto |
| collection | DOAJ |
| description | Fluctuations in mood states are driven by unpredictable outcomes in daily life but also appear to drive consequential behaviors such as risk-taking. However, our understanding of the relationships between unexpected outcomes, mood, and risk-taking behavior has relied primarily upon constrained and artificial laboratory settings. Here we examine, using naturalistic datasets, how real-world unexpected outcomes predict mood state changes observable at the level of a city, in turn predicting changes in gambling behavior. By analyzing day-to-day mood language extracted from 5.2 million location-specific and public Twitter posts or 'tweets', we examine how real-world 'prediction errors'-local outcomes that deviate positively from expectations-predict day-to-day mood states observable at the level of a city. These mood states in turn predicted increased per-person lottery gambling rates, revealing how interplay between prediction errors, moods, and risky decision-making unfolds in the real world. Our results underscore how social media and naturalistic datasets can uniquely allow us to understand consequential psychological phenomena. |
| first_indexed | 2024-12-17T21:44:42Z |
| format | Article |
| id | doaj.art-32ef0ea96b744d3b880ca1981c069de7 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-17T21:44:42Z |
| publishDate | 2018-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-32ef0ea96b744d3b880ca1981c069de72022-12-21T21:31:30ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-011311e020692310.1371/journal.pone.0206923Real-world unexpected outcomes predict city-level mood states and risk-taking behavior.A Ross OttoJohannes C EichstaedtFluctuations in mood states are driven by unpredictable outcomes in daily life but also appear to drive consequential behaviors such as risk-taking. However, our understanding of the relationships between unexpected outcomes, mood, and risk-taking behavior has relied primarily upon constrained and artificial laboratory settings. Here we examine, using naturalistic datasets, how real-world unexpected outcomes predict mood state changes observable at the level of a city, in turn predicting changes in gambling behavior. By analyzing day-to-day mood language extracted from 5.2 million location-specific and public Twitter posts or 'tweets', we examine how real-world 'prediction errors'-local outcomes that deviate positively from expectations-predict day-to-day mood states observable at the level of a city. These mood states in turn predicted increased per-person lottery gambling rates, revealing how interplay between prediction errors, moods, and risky decision-making unfolds in the real world. Our results underscore how social media and naturalistic datasets can uniquely allow us to understand consequential psychological phenomena.https://doi.org/10.1371/journal.pone.0206923 |
| spellingShingle | A Ross Otto Johannes C Eichstaedt Real-world unexpected outcomes predict city-level mood states and risk-taking behavior. PLoS ONE |
| title | Real-world unexpected outcomes predict city-level mood states and risk-taking behavior. |
| title_full | Real-world unexpected outcomes predict city-level mood states and risk-taking behavior. |
| title_fullStr | Real-world unexpected outcomes predict city-level mood states and risk-taking behavior. |
| title_full_unstemmed | Real-world unexpected outcomes predict city-level mood states and risk-taking behavior. |
| title_short | Real-world unexpected outcomes predict city-level mood states and risk-taking behavior. |
| title_sort | real world unexpected outcomes predict city level mood states and risk taking behavior |
| url | https://doi.org/10.1371/journal.pone.0206923 |
| work_keys_str_mv | AT arossotto realworldunexpectedoutcomespredictcitylevelmoodstatesandrisktakingbehavior AT johannesceichstaedt realworldunexpectedoutcomespredictcitylevelmoodstatesandrisktakingbehavior |