Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study

Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study

Depression affects over 280 million people globally, yet many cases remain undiagnosed or untreated due to stigma and lack of awareness. Social media platforms like X (formerly Twitter) offer a way to monitor and analyze depression markers. This study analyzes Twitter data 90 days before and 90 days after a self-disclosed clinical diagnosis. We gathered 246,637 tweets from 229 diagnosed users. CorEx topic modeling identified seven themes: causes…

Thematic: InstitutionalDescriptive: Find the whole topic here. Type of resource press: The AP-HP in the mediaPublic: General publicKeywords: AP-HPComPaReFrance infodepressioninformationcommunicationwebmediasMake up: Yes