Literature DB >> 29587129

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

Gideon Nave1, Juri Minxha2, David M Greenberg3, Michal Kosinski4, David Stillwell5, Jason Rentfrow3.   

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.

Entities:  

Keywords:  machine learning; music; online behavior; open data; open materials; personality; prediction

Mesh:

Year:  2018        PMID: 29587129     DOI: 10.1177/0956797618761659

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  7 in total

1.  Predicting the replicability of social science lab experiments.

Authors:  Adam Altmejd; Anna Dreber; Eskil Forsell; Juergen Huber; Taisuke Imai; Magnus Johannesson; Michael Kirchler; Gideon Nave; Colin Camerer
Journal:  PLoS One       Date:  2019-12-05       Impact factor: 3.240

2.  Ballroom dancers exhibit a dispositional need for arousal and elevated cerebral cortical activity during preferred melodic recall.

Authors:  Xinhong Jin; Yingzhi Lu; Bradley D Hatfield; Xiaoyu Wang; Biye Wang; Chenglin Zhou
Journal:  PeerJ       Date:  2021-01-13       Impact factor: 2.984

3.  The golden age of social science.

Authors:  Anastasia Buyalskaya; Marcos Gallo; Colin F Camerer
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-02       Impact factor: 11.205

4.  Preferred musical attribute dimensions underlie individual differences in music-induced analgesia.

Authors:  Krzysztof Basiński; Agata Zdun-Ryżewska; David M Greenberg; Mikołaj Majkowicz
Journal:  Sci Rep       Date:  2021-04-21       Impact factor: 4.379

5.  Rationales and functions of disliked music: An in-depth interview study.

Authors:  Taren-Ida Ackermann; Julia Merrill
Journal:  PLoS One       Date:  2022-02-15       Impact factor: 3.240

6.  Chinese App User's Needs Profile: From Questionnaire Measurement to Behavior Analysis.

Authors:  Zaoyi Sun; Liang Xu; Qi Zhong; Xiuying Qian
Journal:  Front Psychol       Date:  2021-06-18

7.  Music Preferences and Personality in Brazilians.

Authors:  Lucia Herrera; João F Soares-Quadros; Oswaldo Lorenzo
Journal:  Front Psychol       Date:  2018-08-21
  7 in total

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