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

翻译：抑郁症已成为一个显著的心理健康问题，其成因涉及多方面因素，折射出更广泛的社会与个体挑战。在数字时代，社交媒体已成为抑郁个体表达情感与心理状态的重要平台，他们通过多种媒介（尤其是音乐）来传递内心世界。具体而言，其音乐偏好通过分享行为得以展现，无意中揭示了其心理与情感图景。本研究旨在探究确诊抑郁症个体与非确诊个体在音乐偏好上的差异，涵盖音乐的多个方面，包括音乐特征、歌词及音乐网络。通过社交媒体上的音乐分享，抑郁症个体的音乐偏好与非抑郁个体相比，在音乐特征、歌词主题及语言使用方面表现出显著差异。我们发现，网络信息有助于加深对音乐聆听模式之间关联的理解。结果突显了一种潜在的“回音室”效应，即抑郁症个体的音乐选择可能无意中加剧抑郁情绪与情感。总之，本研究强调了全面审视音乐各层面以理解其与心理健康关系的重要性，为个性化音乐干预与推荐算法提供了见解，从而有望惠及抑郁症患者。