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Quantifying changes in societal optimism from online sentiment
Individuals can hold contrasting views about distinct times: for example, dread over tomorrow’s appointment and excitement about next summer’s vacation. Yet, psychological measures of optimism often assess only one time point or ask participants to generalize about their future. Here, we address the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939395/ https://www.ncbi.nlm.nih.gov/pubmed/35318589 http://dx.doi.org/10.3758/s13428-021-01785-1 |
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author | Isch, Calvin ten Thij, Marijn Todd, Peter M. Bollen, Johan |
author_facet | Isch, Calvin ten Thij, Marijn Todd, Peter M. Bollen, Johan |
author_sort | Isch, Calvin |
collection | PubMed |
description | Individuals can hold contrasting views about distinct times: for example, dread over tomorrow’s appointment and excitement about next summer’s vacation. Yet, psychological measures of optimism often assess only one time point or ask participants to generalize about their future. Here, we address these limitations by developing the optimism curve, a measure of societal optimism that compares positivity toward different future times that was inspired by the Treasury bond yield curve. By performing sentiment analysis on over 3.5 million tweets that reference 23 future time points (2 days to 30 years), we measured how positivity differs across short-, medium-, and longer-term future references. We found a consistent negative association between positivity and the distance into the future referenced: From August 2017 to February 2020, the long-term future was discussed less positively than the short-term future. During the COVID-19 pandemic, this relationship inverted, indicating declining near-future- but stable distant-future-optimism. Our results demonstrate that individuals hold differentiated attitudes toward the near and distant future that shift in aggregate over time in response to external events. The optimism curve uniquely captures these shifting attitudes and may serve as a useful tool that can expand existing psychometric measures of optimism. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13428-021-01785-1. |
format | Online Article Text |
id | pubmed-8939395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-89393952022-03-23 Quantifying changes in societal optimism from online sentiment Isch, Calvin ten Thij, Marijn Todd, Peter M. Bollen, Johan Behav Res Methods Article Individuals can hold contrasting views about distinct times: for example, dread over tomorrow’s appointment and excitement about next summer’s vacation. Yet, psychological measures of optimism often assess only one time point or ask participants to generalize about their future. Here, we address these limitations by developing the optimism curve, a measure of societal optimism that compares positivity toward different future times that was inspired by the Treasury bond yield curve. By performing sentiment analysis on over 3.5 million tweets that reference 23 future time points (2 days to 30 years), we measured how positivity differs across short-, medium-, and longer-term future references. We found a consistent negative association between positivity and the distance into the future referenced: From August 2017 to February 2020, the long-term future was discussed less positively than the short-term future. During the COVID-19 pandemic, this relationship inverted, indicating declining near-future- but stable distant-future-optimism. Our results demonstrate that individuals hold differentiated attitudes toward the near and distant future that shift in aggregate over time in response to external events. The optimism curve uniquely captures these shifting attitudes and may serve as a useful tool that can expand existing psychometric measures of optimism. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13428-021-01785-1. Springer US 2022-03-22 2023 /pmc/articles/PMC8939395/ /pubmed/35318589 http://dx.doi.org/10.3758/s13428-021-01785-1 Text en © The Psychonomic Society, Inc. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Isch, Calvin ten Thij, Marijn Todd, Peter M. Bollen, Johan Quantifying changes in societal optimism from online sentiment |
title | Quantifying changes in societal optimism from online sentiment |
title_full | Quantifying changes in societal optimism from online sentiment |
title_fullStr | Quantifying changes in societal optimism from online sentiment |
title_full_unstemmed | Quantifying changes in societal optimism from online sentiment |
title_short | Quantifying changes in societal optimism from online sentiment |
title_sort | quantifying changes in societal optimism from online sentiment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939395/ https://www.ncbi.nlm.nih.gov/pubmed/35318589 http://dx.doi.org/10.3758/s13428-021-01785-1 |
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