Do Emotions Expressed Online Correlate with Actual Changes in Decision-Making?: The Case of Stock Day Traders

Emotions are increasingly inferred linguistically from online data with a goal of predicting off-line behavior. Yet, it is unknown whether emotions inferred linguistically from online communications correlate with actual changes in off-line activity. We analyzed all 886,000 trading decisions and 1,2...

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Detalles Bibliográficos
Autores principales: Liu, Bin, Govindan, Ramesh, Uzzi, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4713085/
https://www.ncbi.nlm.nih.gov/pubmed/26765539
http://dx.doi.org/10.1371/journal.pone.0144945

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4713085/
https://www.ncbi.nlm.nih.gov/pubmed/26765539
http://dx.doi.org/10.1371/journal.pone.0144945

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