This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1558) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Depression and Mood Disorders; Suicide Prevention (1691) Linguistics, Comprehension, and Learning (56)

Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20920, first published .
Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study

Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study

Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study

Authors of this article:

Angela Leis1 Author Orcid Image ;   Francesco Ronzano1 Author Orcid Image ;   Miguel Angel Mayer1 Author Orcid Image ;   Laura I Furlong1 Author Orcid Image ;   Ferran Sanz1 Author Orcid Image
Article Authors Cited by (2) Tweetations (33) Metrics

Journals

  1. DuPont-Reyes M, Zou W, Li J, Villatoro A, Tang L. A machine learning language model approach to evaluating mental health awareness content across Spanish- and English-language social media posts on Twitter. Social Psychiatry and Psychiatric Epidemiology 2025;60(9):2249 View
  2. Chart-Pascual J, Goena J, Lara F, Montero Torres M, Marin Napal J, Muñoz R, García Montero C, Fraile Martínez O, Ortega M, Salazar de Pablo G, González Pinto A, Quintero J, Alvarez-Mon M, Álvarez-Mon M. Understanding social media discourse on antidepressants: unsupervised and sentiment analysis using X. European Psychiatry 2025;68(1) View