Twitter-MusicPD: melody of minds - navigating user-level data on multiple mental health disorders and music preferences

Social media platforms have become integral spaces for individuals to express emotions, seek advice, and disclose mental health conditions. While existing research primarily focuses on analyzing textual content for predicting mental disorders, music listening, as a fundamental aspect of human experience, has gained attention for its potential to influence psychological well-being. This paper introduces the Twitter-Music-Psychological Disorder (Twitter-MusicPD) dataset, which includes data from 5767 music-listening Twitter users, covering both individuals with six self-reported psychological disorders and non-disordered users, along with a matched control group of 38,086 non-music-listening Twitter users across six disordered and non-disordered groups. The dataset spans from August 2007 to May 2022, comprising 8,976,628 English tweets reported as embeddings and the content of 78,413 music tracks shared by users. Detailed information on music tracks, including sources, titles, artists and associated lyrics, is provided, along with sentiments and emotions related to the music. Twitter-MusicPD serves as a comprehensive resource for investigating the relationships between Twitter engagement, music choices, and psychological well-being, offering insights into how tweeting behaviors and music preferences evolve over time. Our data is available at: https://github.com/szamani20/Twitter-MusicPD_Melody-of-Minds .