The individual dynamics of affective expression on social media

The individual dynamics of affective expression on social media

Abstract Understanding the temporal dynamics of affect is crucial for our understanding human emotions in general. In this study, we empirically test a computational model of affective dynamics by analyzing a large-scale dataset of Facebook status updates using text analysis techniques. Our analyses...

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Bibliographic Details
Main Authors: Max Pellert, Simon Schweighofer, David Garcia
Format: Article
Language:English
Published: SpringerOpen 2020-01-01
Series:EPJ Data Science
Subjects:
Emotions
Social media
Computational modeling
Online Access:https://doi.org/10.1140/epjds/s13688-019-0219-3

Internet

https://doi.org/10.1140/epjds/s13688-019-0219-3

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