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Quantifying changes in societal optimism from online sentiment.
Isch, Calvin; Ten Thij, Marijn; Todd, Peter M; Bollen, Johan.
Afiliación
  • Isch C; Cognitive Science Program, Indiana University Bloomington, 1001 E. 10th St., Bloomington, IN, 47405, USA. calvin.isch@gmail.com.
  • Ten Thij M; Center for Social and Biomedical Complexity, Indiana University Bloomington, 1015 E. 11th St., Bloomington, IN, 47408, USA.
  • Todd PM; Delft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 4, 2628, CD, Delft, The Netherlands.
  • Bollen J; Department of Data Science and Knowledge Engineering, Maastricht University, Paul-Henri Spaaklaan 1, 6229, EN, Maastricht, The Netherlands.
Behav Res Methods ; 55(1): 176-184, 2023 01.
Article en En | MEDLINE | ID: mdl-35318589
ABSTRACT
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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Medios de Comunicación Sociales / COVID-19 Límite: Humans Idioma: En Revista: Behav Res Methods Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Medios de Comunicación Sociales / COVID-19 Límite: Humans Idioma: En Revista: Behav Res Methods Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos