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ABSTRACT: Background
With the widespread use of social media, people share their real-time thoughts and feelings via interactions on these platforms, including those revolving around mental health problems. This can provide a new opportunity for researchers to collect health-related data to study and analyze mental disorders. However, as one of the most common mental disorders, there are few studies regarding the manifestations of attention-deficit/hyperactivity disorder (ADHD) on social media.Objective
This study aims to examine and identify the different behavioral patterns and interactions of users with ADHD on Twitter through the text content and metadata of their posted tweets.Methods
First, we built 2 data sets: an ADHD user data set containing 3135 users who explicitly
SUBMITTER: Chen L
PROVIDER: S-EPMC10233432 | biostudies-literature | 2023 May
REPOSITORIES: biostudies-literature