Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods

Researchers and policy makers worldwide are interested in measuring the subjective well-being of populations. When users post on social media, they leave behind digital traces that reflect their thoughts and feelings. Aggregation of such digital traces may make it possible to monitor well-being at l...

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Detalles Bibliográficos
Autores principales: Jaidka, Kokil, Giorgi, Salvatore, Schwartz, H. Andrew, Kern, Margaret L., Ungar, Lyle H., Eichstaedt, Johannes C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Physical Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229753/
https://www.ncbi.nlm.nih.gov/pubmed/32341156
http://dx.doi.org/10.1073/pnas.1906364117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229753/
https://www.ncbi.nlm.nih.gov/pubmed/32341156
http://dx.doi.org/10.1073/pnas.1906364117

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