Assessing mental health signals among sexual and gender minorities using Twitter data.

ABSTRACT: Sexual and gender minorities face extreme challenges that breed stigma with alarming consequences damaging their mental health. Nevertheless, sexual and gender minority people and their mental health needs remain little understood. Because of stigma, sexual and gender minorities are often unwilling to self-identify themselves as sexual and gender minorities when asked. However, social media have become popular platforms for health-related researches. We first explored methods to find sexual and gender minorities through their self-identifying tweets, and further classified them into 11 sexual and gender minority subgroups. We then analyzed mental health signals extracted from these sexual and gender minorities' Twitter timelines using a lexicon-based analysis method. We found that (1) sexu

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC8170840 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature