透过语言视角看音乐偏好与人格特质的相互作用
On the Interplay between Musical Preferences and Personality through the Lens of Language
AI总结：
本研究基于大五人格特质，利用近5000名作者的超50万文本样本构建模型，探究个体音乐偏好在自发语言中的痕迹，发现不同音乐流派粉丝间存在显著人格差异。
摘要：
音乐是个体身份的有力反映，通常与更深层的心理特质相一致。先前的研究已经证实了音乐偏好与人格特质之间的相关性，而另外的研究则表明人格特质可以通过语言分析来检测。本研究通过大五人格特质（开放性、尽责性、外向性、宜人性和神经质）的视角，调查个体的音乐偏好是否会在其自发语言中留下痕迹，从而将这两个研究领域联系起来。使用一个精心整理的数据集，包含来自近5,000名可靠识别出音乐偏好的作者的超过500,000个文本样本，我们构建了高级模型来评估人格特征。我们的结果揭示了五种音乐流派的粉丝之间存在显著的人格差异。我们发布了相关资源，以支持未来在计算语言学、音乐心理学和人格分析交叉领域的研究。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
