Correlating Big Five Primary Personality Dimensions with Musical Preferences
Abstract
According to J Clement in 2019 an estimated 2.95 billion people were using social media worldwide, with a projection of 3.43 billion in 2023. Social networks increasingly play a fundamental role in the way of expressing our-selves and relating to others, in which it is directly linked to our personality. Several studies relate a persons personality to the most diverse areas, such as predicting political orientation, classifying gender, or even measuring the level of success at work. Wu Youyou, 2015 proposes an algorithm that can allegedly estimate the personality of a Facebook user better than his partner, based on his digital footprint, thanks to AI techniques and the massive number of inter-actions that users perform on their social media. The focus of this work is to relate the Big Five personality theory with musical preferences. Since social media posts register moments and impressions of users lives, and since music streaming platforms provide material about musical taste second Peter J RentFrow et al, 203, we used tools to extract the big five primary personality dimensions from Facebook and audio features from the Spotify Web API, and looked for correlations be-tween musical preferences and personality. Results show some correlations and anticorrelations found, pointing to further research with a broader range of features.
References
Wu Youyou, Michal Kosinski, and David Stillwell. Computer-based personality judgments are more accurate than those made by humans. Proceedings of the National Academy of Sciences, 112(4):1036–1040, 2015.
Peter J Rentfrow and Samuel D Gosling. The do re mi’s of everyday life: the structure and personality correlates of music preferences. Journal of personality and social psychology, 84(6):1236, 2003.
John M Digman. Higher-order factors of the big five. Journal of personality and social psychology, 73(6):1246, 1997.
Carlos Eduardo Pimentel and Edla Daise Oliveira Porto Donnelly. A relação da preferência musical com os cinco grandes fatores da personalidade. Psicologia: ciência e profissão, 28(4):696–713, 2008.
Michal Kosinski, David Stillwell, and Thore Graepel. Private traits and attributes are predictable from digital records of human behavior. Proceedings of the National Academy of Sciences, 110(15):5802–5805, 2013.
Felicia Pratto, Jim Sidanius, Lisa M Stallworth, and Bertram F Malle. Social dominance orientation: A personality variable predicting social and political attitudes. Journal of personality and social psychology, 67(4):741, 1994.
CHSS Nunes and CS Hutz. O modelo dos cinco grandes fatores de personalidade. Temas de avaliação psicológica. Campinas: IBAP, 2002.
Robert R McCrae and Oliver P John. An introduction to the five-factor model and its applications. Journal of personality, 60(2):175–215, 1992.
Claudio Simon Hutz, Carlos H Nunes, Alice D Silveira, Jovana Serra, Márcia Anton, and Luciane S Wieczorek. O desenvolvimento de marcadores para a avaliação da personalidade no modelo dos cinco grandes fatores. Psicologia: reflexão e crítica, 11(2), 1998.
Alexandre Neves. E-portefólios para a gestão da identidade digital: estudo de caso da plataforma sapo campus escolas. Master’s thesis, Universidade de Aveiro, 2011.
Fabien Girardin, Francesco Calabrese, Filippo Dal Fiore, Carlo Ratti, and Josep Blat. Digital footprinting: Uncovering tourists with user-generated content. IEEE Pervasive computing, 7(4), 2008.
Kyle Robert Arcand II. Stack Music: Spotify and the Platformization of the Digital Music Commodity. PhD thesis, Duke University, 2019.
Jesper Steen Andersen. Using the echo nest’s automatically extracted music features for a musicological purpose. In Cognitive Information Processing (CIP), 2014 4th International Workshop on, pages 1–6. IEEE, 2014.
Luiz Pasquali. Psicometria: teoria dos testes na psicologia e na educação. Editora Vozes Limitada, 2017.
