Cargando…
Predicting Depression From Language-Based Emotion Dynamics: Longitudinal Analysis of Facebook and Twitter Status Updates
BACKGROUND: Frequent expression of negative emotion words on social media has been linked to depression. However, metrics have relied on average values, not dynamic measures of emotional volatility. OBJECTIVE: The aim of this study was to report on the associations between depression severity and th...
Autores principales: | Seabrook, Elizabeth M, Kern, Margaret L, Fulcher, Ben D, Rickard, Nikki S |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5964306/ https://www.ncbi.nlm.nih.gov/pubmed/29739736 http://dx.doi.org/10.2196/jmir.9267 |
Ejemplares similares
-
Social Networking Sites, Depression, and Anxiety: A Systematic Review
por: Seabrook, Elizabeth M, et al.
Publicado: (2016) -
Facebook & Twitter for seniors for dummies
por: Collier, Marsha
Publicado: (2014) -
Facebook and Twitter For Seniors For Dummies
por: Collier, Marsha
Publicado: (2010) -
Norms of online expressions of emotion: Comparing Facebook, Twitter, Instagram, and WhatsApp
por: Waterloo, Sophie F, et al.
Publicado: (2017) -
Facebook y Twitter para adultos /
por: Veloso, Claudio Emilio
Publicado: (2012)