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Likeness and Dealbreakers: Interpreting Interpersonal Compatibility from Online Music Profiles

  • Mo Kudeki
  • Karrie Karahalios
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8119)

Abstract

How much would a stranger know about you if they knew only the last song you listened to? Quite a bit, at least according to the stranger. Music taste often acts as proxy for our personalities, and we constantly perform this taste perception online. In our study, we find that good first impressions are common, bad first impressions are extreme, and that people pick up on many subtle cues about personality and whether they share common values based on data found in an online music profile. Similar motivations for listening to music and the perception of individuality are more highly valued than similar taste in genres or artists, suggesting that social media applications could benefit from incorporating these motivations in predicting compatibility between users.

Keywords

Music listening history taste performance impression formation personality social networking service 

References

  1. 1.
    Baur, D., Büttgen, J., Butz, A.: A Large-Scale Principal Components Analysis of Long-Term Music Listening Histories. In: CHI 2012: Proceedings of the 2012 ACM Annual Conference on Human Factors in Computing Systems, pp. 1273–1276. ACM, New York (2012)CrossRefGoogle Scholar
  2. 2.
    Fitzpatrick, C.: Scrobbling identity: Impression management on last. fm. Technomusicology: A Sand- Box Journal 1(2) (2008)Google Scholar
  3. 3.
    Hansen, D.L., Golbeck, J.: Mixing it up: recommending collections of items. In: CHI 2009: Proceedings of the 27th International Conference on Human Factors in Computing Systems, pp. 1217–1226. ACM, New York (2009)Google Scholar
  4. 4.
    Liu, H.: Social network profiles as taste performances. Journal of Computer-Mediated Communication 13, article 13 (2008)Google Scholar
  5. 5.
    Oakes, M.: PHP Last.fm API (updated September 6, 2011), https://github.com/matto1990/PHP-Last.fm-API/ (retrieved November 25, 2011)
  6. 6.
    Privacy Policy - Last.fm (February 11, 2009), http://www.last.fm/legal/privacy (retrieved December 17, 2011)
  7. 7.
    Rentfrow, P.J., Gosling, S.D.: The content and validity of music-genre stereotypes among college students. Psychology of Music 35, 306–325 (2007)CrossRefGoogle Scholar
  8. 8.
    Rentfrow, P.J., Gosling, S.D.: Message in a Ballad: The role of music preferences in interpersonal perception. Psychological Science 17, 236–242 (2006)CrossRefGoogle Scholar
  9. 9.
    Ruble, R.: Making Ourselves Understood: The Role of Previous Experience, Stereotypes, Communication Accommodation, and Anxiety in Americans’ Perceptions of Communication with Chinese Students. Thesis, University of Kansas (2011)Google Scholar
  10. 10.
    Silfverberg, S., Liikkanen, L.A., Lampinen, A.: “I’ll” press play, but I won’t listen”: profile work in a music-focused social network service. In: CSCW, pp. 207–216 (2011)Google Scholar
  11. 11.
    Voida, A., Grinter, R.E., Ducheneaut, N., Edwards, W.K., Newman, M.W.: Listening in: Practices surrounding iTunes music sharing. In: Proceedings of the ACM Conference on Human Factors in Computing Systems, CHI 2005, pp. 191–200. ACM Press, New York (2005)Google Scholar
  12. 12.
    Walther, J.B.: Computer-mediated communication: Impersonal, interpersonal, and hyperpersonal interaction. Communication Research 23, 3–43 (1996)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Mo Kudeki
    • 1
  • Karrie Karahalios
    • 1
  1. 1.University of IllinoisUSA

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