TY - JOUR
T1 - “Just the Way You Are”
T2 - Linking Music Listening on Spotify and Personality
AU - Anderson, Ian
AU - Gil, Santiago
AU - Gibson, Clay
AU - Wolf, Scott
AU - Shapiro, Will
AU - Semerci, Oguz
AU - Greenberg, David M.
N1 - Publisher Copyright:
© The Author(s) 2020.
PY - 2021/5
Y1 - 2021/5
N2 - Advances in digital technology have put music libraries at people’s fingertips, giving them immediate access to more music than ever before. Here we overcome limitations of prior research by leveraging ecologically valid streaming data: 17.6 million songs and over 662,000 hr of music listened to by 5,808 Spotify users spanning a 3-month period. Building on interactionist theories, we investigated the link between personality traits and music listening behavior, described by an extensive set of 211 mood, genre, demographic, and behavioral metrics. Findings from machine learning showed that the Big Five personality traits are predicted by musical preferences and habitual listening behaviors with moderate to high accuracy. Importantly, our work contrasts a recent self-report-based meta-analysis, which suggested that personality traits play only a small role in musical preferences; rather, we show with big data and advanced machine learning methods that personality is indeed important and warrants continued rigorous investigation.
AB - Advances in digital technology have put music libraries at people’s fingertips, giving them immediate access to more music than ever before. Here we overcome limitations of prior research by leveraging ecologically valid streaming data: 17.6 million songs and over 662,000 hr of music listened to by 5,808 Spotify users spanning a 3-month period. Building on interactionist theories, we investigated the link between personality traits and music listening behavior, described by an extensive set of 211 mood, genre, demographic, and behavioral metrics. Findings from machine learning showed that the Big Five personality traits are predicted by musical preferences and habitual listening behaviors with moderate to high accuracy. Importantly, our work contrasts a recent self-report-based meta-analysis, which suggested that personality traits play only a small role in musical preferences; rather, we show with big data and advanced machine learning methods that personality is indeed important and warrants continued rigorous investigation.
KW - Big Five personality model
KW - computational social science
KW - musical preferences
KW - personality
UR - http://www.scopus.com/inward/record.url?scp=85087757983&partnerID=8YFLogxK
U2 - 10.1177/1948550620923228
DO - 10.1177/1948550620923228
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AN - SCOPUS:85087757983
SN - 1948-5506
VL - 12
SP - 561
EP - 572
JO - Social Psychological and Personality Science
JF - Social Psychological and Personality Science
IS - 4
ER -