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Depression has emerged as a significant mental health concern due to avariety of factors, reflecting broader societal and individual challenges.Within the digital era, social media has become an important platform forindividuals navigating through depression, enabling them to express theiremotional and mental states through various mediums, notably music.Specifically, their music preferences, manifested through sharing practices,inadvertently offer a glimpse into their psychological and emotionallandscapes. This work seeks to study the differences in music preferencesbetween individuals diagnosed with depression and non-diagnosed individuals,exploring numerous facets of music, including musical features, lyrics, andmusical networks. The music preferences of individuals with depression throughmusic sharing on social media, reveal notable differences in musical featuresand topics and language use of lyrics compared to non-depressed individuals. Wefind the network information enhances understanding of the link between musiclistening patterns. The result highlights a potential echo-chamber effect,where depression individual's musical choices may inadvertently perpetuatedepressive moods and emotions. In sum, this study underscores the significanceof examining music's various aspects to grasp its relationship with mentalhealth, offering insights for personalized music interventions andrecommendation algorithms that could benefit individuals with depression.

Exploring Musical, Lyrical, and Network Dimensions of Music Sharing Among Depression Individuals