On the Interplay between Musical Preferences and Personality through the Lens of Language
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Abstract (arXiv)
Music serves as a powerful reflection of individual identity, often aligning with deeper psychological traits. Prior research has established correlations between musical preferences and personality, while separate studies have demonstrated that personality is detectable through linguistic analysis. Our study bridges these two research domains by investigating whether individuals' musical preferences leave traces in their spontaneous language through the lens of the Big Five personality traits (Openness, Conscientiousness, Extroversion, Agreeableness, and Neuroticism). Using a carefully curated dataset of over 500,000 text samples from nearly 5,000 authors with reliably identified musical preferences, we build advanced models to assess personality characteristics. Our results reveal significant personality differences across fans of five musical genres. We release resources for future research at the intersection of computational linguistics, music psychology and personality analysis.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 38 references that are in the map. First posted on arXiv 25 Aug 2025.
Builds on
7 of 38 references.
References · 7
- 2022Text Embeddings by Weakly-Supervised Contrastive Pre-trainingcited by 1,253
- 2023Large Language Models Can Infer Psychological Dispositions of Social Media Userscited by 29
- 2021Psycholinguistic Tripartite Graph Network for Personality Detectioncited by 12
- 2018Native Language Cognate Effects on Second Language Lexical Choicecited by 11
- 2021Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosiscited by 8
- 2021Quantifying Cognitive Factors in Lexical Declinecited by 8
- 2020Exploration of Gender Differences in COVID-19 Discourse on Redditcited by 6
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Citing papers per year: 2026: 1.
1 paper.