Understanding social media discourse on antidepressants: unsupervised and sentiment analysis using X.

ABSTRACT:

Background

Antidepressants are essential in managing depression, including treatment-resistant cases. Public perceptions of these medications, shaped by social media platforms like X (formerly Twitter), can influence treatment adherence and outcomes. This study explores public attitudes toward antidepressants through sentiment and topic modeling analysis of tweets in English and Spanish from 2007 to 2022.

Methods

Tweets mentioning antidepressants approved for depression were collected. The analysis focused on selective serotonin reuptake inhibitors (SSRIs) and glutamatergic drugs. Sentiment analysis and topic modeling were conducted to identify trends, concerns, and emotions in discussions across both languages.

Results

A total of 1,448,674 tweets were analyzed (1,013

SUBMITTER: Chart-Pascual JP 

PROVIDER: S-EPMC12041734 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature