Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
126 tokens/sec
GPT-4o
47 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Exploring Musical, Lyrical, and Network Dimensions of Music Sharing Among Depression Individuals (2310.11557v1)

Published 17 Oct 2023 in cs.CY and cs.SI

Abstract: 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.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (56)
  1. [n. d.]. Spotify Million Playlist Dataset Challenge. https://www.aicrowd.com/challenges/spotify-million-playlist-dataset-challenge. Accessed: 2023-09-27.
  2. [n. d.]. twitter-depression-tweets-and-musics. https://www.kaggle.com/datasets/rrmartin/twitter-depression-tweets-and-musics. Accessed: 2023-09-27.
  3. 2023. Web API. https://developer.spotify.com/documentation/web-api. Accessed: 2023-09-27.
  4. Sensitive self-disclosures, responses, and social support on Instagram: the case of# depression. In Proceedings of the 2017 ACM conference on computer supported cooperative work and social computing. 1485–1500.
  5. Margarida Baltazar and Daniel Västfjäll. 2020. Songs perceived as relaxing: Musical features, lyrics, and contributing mechanisms. In International Conference: Psychology and Music–Interdisciplinary Encounters. Faculty of Music, University of Arts in Belgrade.
  6. Acoustic features influence musical choices across multiple genres. Frontiers in psychology 8 (2017), 931.
  7. Individuals with depression express more distorted thinking on social media. Nature human behaviour 5, 4 (2021), 458–466.
  8. Nejra Bešić and Margaret Kerr. 2009. Punks, Goths, and Other Eye-Catching Peer Crowds: Do They Fulfill a Function for Shy Youths? Journal of Research on Adolescence 19, 1 (2009), 113–121.
  9. Latent dirichlet allocation. Journal of machine Learning research 3, Jan (2003), 993–1022.
  10. Leonardo Bonetti and Marco Costa. 2016. Intelligence and musical mode preference. Empirical Studies of the Arts 34, 2 (2016), 160–176.
  11. Risk of depression and self-harm in teenagers identifying with goth subculture: a longitudinal cohort study. The Lancet Psychiatry 2, 9 (2015), 793–800.
  12. The development and psychometric properties of LIWC-22. Technical Report. University of Texas at Austin, Austin, TX. https://www.liwc.app
  13. Rebecca C Brown and Paul L Plener. 2017. Non-suicidal self-injury in adolescence. Current psychiatry reports 19 (2017), 1–8.
  14. Social media as a measurement tool of depression in populations. In Proceedings of the 5th annual ACM web science conference. 47–56.
  15. Predicting depression via social media. In Proceedings of the international AAAI conference on web and social media, Vol. 7. 128–137.
  16. Adolescents’ music preferences and personality characteristics. European Journal of Personality: Published for the European Association of Personality Psychology 22, 2 (2008), 109–130.
  17. Tuomas Eerola and Jonna K Vuoskoski. 2011. A comparison of the discrete and dimensional models of emotion in music. Psychology of Music 39, 1 (2011), 18–49.
  18. Individual music therapy for depression: randomised controlled trial. The British journal of psychiatry 199, 2 (2011), 132–139.
  19. Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: results from the WHO World Mental Health (WMH) surveys. Psychological medicine 48, 9 (2018), 1560–1571.
  20. Personality traits predict music taxonomy preferences. In Proceedings of the 33rd annual acm conference extended abstracts on human factors in computing systems. 2241–2246.
  21. Maya B Flannery and Matthew H Woolhouse. 2021. Musical preference: Role of personality and music-related acoustic features. Music & Science 4 (2021), 20592043211014014.
  22. Social media and eating disorder psychopathology: A systematic review. Cyberpsychology Journal of Psychosocial Research on Cyberspace (2021).
  23. Sandra Garrido and Emery Schubert. 2015. Music and people with tendencies to depression. Music Perception: An Interdisciplinary Journal 32, 4 (2015), 313–321.
  24. Ian H Gotlib and Constance L Hammen. 2008. Handbook of depression. Guilford Press.
  25. Alinka E Greasley and Alexandra M Lamont. 2006. Music preference in adulthood: Why do we like the music we do. In Proceedings of the 9th international conference on music perception and cognition. University of Bologna Bologna, Italy, 960–966.
  26. The song is you: Preferences for musical attribute dimensions reflect personality. Social Psychological and Personality Science 7, 6 (2016), 597–605.
  27. Language of ADHD in adults on social media. Journal of attention disorders 23, 12 (2019), 1475–1485.
  28. Detecting depression and mental illness on social media: an integrative review. Current Opinion in Behavioral Sciences 18 (2017), 43–49.
  29. Claire Howlin and Brendan Rooney. 2021. Patients choose music with high energy, danceability, and lyrics in analgesic music listening interventions. Psychology of Music 49, 4 (2021), 931–944.
  30. Relaxation therapy for depression: an updated meta-analysis. The Journal of Nervous and Mental Disease 208, 4 (2020), 319–328.
  31. Benjamin K Johnson and Giulia Ranzini. 2018. Click here to look clever: Self-presentation via selective sharing of music and film on social media. Computers in Human Behavior 82 (2018), 148–158.
  32. Steve Jones. 2000. Music and the Internet. Popular Music 19, 2 (2000), 217–230.
  33. Anahid Kassabian. 2013. Ubiquitous listening: Affect, attention, and distributed subjectivity. Univ of California Press.
  34. Carol L Krumhansl. 2002. Music: A link between cognition and emotion. Current directions in psychological science 11, 2 (2002), 45–50.
  35. Understanding music sharing behaviour on social network services. Online Information Review 35, 5 (2011), 716–733.
  36. David Lester and Melissa Whipple. 1996. Music preference, depression, suicidal preoccupation, and personality: Comment on Stack and Gundlach’s papers. Suicide and Life-Threatening Behavior 26, 1 (1996), 68–70.
  37. Daniel Leubner and Thilo Hinterberger. 2017. Reviewing the effectiveness of music interventions in treating depression. Frontiers in psychology 8 (2017), 1109.
  38. The relationship between text message sentiment and self-reported depression. Journal of affective disorders 302 (2022), 7–14.
  39. Does anime, idol culture bring depression? Structural analysis and deep learning on subcultural identity and various psychological outcomes. Heliyon 8, 9 (2022).
  40. Music therapy for depression. Cochrane database of systematic reviews 1 (2008).
  41. Dave Miranda and Michel Claes. 2008. Personality traits, music preferences and depression in adolescence. International journal of adolescence and youth 14, 3 (2008), 277–298.
  42. Rebecca Morrison and Rory C O’Connor. 2008. A systematic review of the relationship between rumination and suicidality. Suicide and Life-Threatening Behavior 38, 5 (2008), 523–538.
  43. An investigation of working memory deficits in depression using the n-back task: A systematic review and meta-analysis. Journal of Affective Disorders 284 (2021), 1–8.
  44. Susan Nolen-Hoeksema and Jannay Morrow. 1993. Effects of rumination and distraction on naturally occurring depressed mood. Cognition & emotion 7, 6 (1993), 561–570.
  45. Specificity of rumination in anxiety and depression: A multimodal meta-analysis. Clinical Psychology: Science and Practice 20, 3 (2013), 225.
  46. How does the spotify api compare to the music emotion recognition state-of-the-art?. In 18th Sound and Music Computing Conference (SMC 2021). Axea sas/SMC Network, 238–245.
  47. Mental disorders on online social media through the lens of language and behaviour: Analysis and visualisation. Information processing & management 59, 3 (2022), 102890.
  48. Jenefer Robinson. 2005. Deeper than reason: Emotion and its role in literature, music, and art. Oxford University Press.
  49. From Louvain to Leiden: guaranteeing well-connected communities. Scientific reports 9, 1 (2019), 5233.
  50. Raquel Campos Valverde. 2022. Online musicking for humanity: the role of imagined listening and the moral economies of music sharing on social media. Popular Music 41, 2 (2022), 194–215.
  51. Edward R Watkins and Henrietta Roberts. 2020. Reflecting on rumination: Consequences, causes, mechanisms and treatment of rumination. Behaviour Research and Therapy 127 (2020), 103573.
  52. Richard M Wenzlaff and Danielle E Bates. 1998. Unmasking a cognitive vulnerability to depression: how lapses in mental control reveal depressive thinking. Journal of personality and social psychology 75, 6 (1998), 1559.
  53. WHO. 2023. Depressive disorder (depression). https://www.who.int/news-room/fact-sheets/detail/depression. Accessed on: 2023-09-24.
  54. On a blue note: depressed peoples’ reasons for listening to music. Music and Medicine (2013).
  55. A systematic review and meta-regression of the prevalence and incidence of perinatal depression. Journal of affective disorders 219 (2017), 86–92.
  56. Ronghua Xu and Qingpeng Zhang. 2016. Understanding online health groups for depression: social network and linguistic perspectives. Journal of medical Internet research 18, 3 (2016), e63.
Citations (1)
View on Semantic Scholar

Summary

We haven't generated a summary for this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Summarize Now
Youtube Logo Streamline Icon: https://streamlinehq.com

YouTube