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Dataset Information

Quantifying Changes in the Language Used Around Mental Health on Twitter Over 10 Years: Observational Study.


ABSTRACT:

Background

Mental health challenges are thought to affect approximately 10% of the global population each year, with many of those affected going untreated because of the stigma and limited access to services. As social media lowers the barrier for joining difficult conversations and finding supportive groups, Twitter is an open source of language data describing the changing experience of a stigmatized group.

Objective

By measuring changes in the conversation around mental health on Twitter, we aim to quantify the hypothesized increase in discussions and awareness of the topic as well as the corresponding reduction in stigma around mental health.

Methods

We explored trends in words and phrases related to mental health through a collection of 1-, 2-, and 3-grams parse

SUBMITTER: Stupinski AM 

PROVIDER: S-EPMC9008521 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature