CaltechAUTHORS
  A Caltech Library Service

Musical Preferences Predict Personality: Evidence From Active Listening and Facebook Likes

Nave, Gideon and Minxha, Juri and Greenberg, David M. and Kosinski, Michal and Stillwell, David and Rentfrow, Jason (2018) Musical Preferences Predict Personality: Evidence From Active Listening and Facebook Likes. Psychological Science, 29 (7). pp. 1145-1158. ISSN 0956-7976. https://resolver.caltech.edu/CaltechAUTHORS:20180402-080900774

[img] MS Excel (Figure S2) - Supplemental Material
See Usage Policy.

22Kb
[img] PDF (Supplemental Material) - Supplemental Material
See Usage Policy.

698Kb
[img] PDF (Open Practices Disclosure) - Supplemental Material
See Usage Policy.

589Kb

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20180402-080900774

Abstract

Research over the past decade has shown that various personality traits are communicated through musical preferences. One limitation of that research is external validity, as most studies have assessed individual differences in musical preferences using self-reports of music-genre preferences. Are personality traits communicated through behavioral manifestations of musical preferences? We addressed this question in two large-scale online studies with demographically diverse populations. Study 1 (N = 22,252) shows that reactions to unfamiliar musical excerpts predicted individual differences in personality—most notably, openness and extraversion—above and beyond demographic characteristics. Moreover, these personality traits were differentially associated with particular music-preference dimensions. The results from Study 2 (N = 21,929) replicated and extended these findings by showing that an active measure of naturally occurring behavior, Facebook Likes for musical artists, also predicted individual differences in personality. In general, our findings establish the robustness and external validity of the links between musical preferences and personality.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1177/0956797618761659DOIArticle
http://journals.sagepub.com/doi/10.1177/0956797618761659PublisherArticle
ORCID:
AuthorORCID
Nave, Gideon0000-0001-6251-5630
Additional Information:© 2018 by Association for Psychological Science. Received: August 24, 2016; Accepted: January 21, 2018; Article first published online: March 27, 2018.
Subject Keywords:machine learning, music, online behavior, personality, prediction, open data, open materials
Issue or Number:7
Record Number:CaltechAUTHORS:20180402-080900774
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180402-080900774
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:85552
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:02 Apr 2018 16:07
Last Modified:03 Oct 2019 19:32

Repository Staff Only: item control page