伦理的声音景观:通过歌词和音频链接音乐偏好和道德价值观
Vjosa Preniqi1, Kyriaki Kalimeri2, Charalampos Saitis1
1Centre for Digital Music, Queen Mary University of London, London, United Kingdom.
PloS one
|November 29, 2023
概括
音乐的选择揭示了道德价值观. 通过分析歌词和音频特征,这项研究发现,将两者结合在一起,可以提供最准确的个人道德预测,超过人口统计数据.
科学领域:
- 计算社会科学 计算社会科学
- 心理学 心理学 心理学
- 音乐学 音乐学 音乐学
背景情况:
- 音乐是一种普遍的文化元素,用于表达情感和信仰.
- 了解音乐偏好和个人价值观之间的联系对于各种应用至关重要.
研究的目的:
- 研究个体的道德价值观与他们选择的音乐之间的关系.
- 评估歌词和声乐特征在确定道德价值的预测能力.
主要方法:
- 收集了1480名参与者的心理测量分数.
- 使用自然语言处理 (NLP) 和声学分析分析了参与者喜欢的音乐的歌词和音频特征.
- 采用机器学习模型来预测基于歌词和声学数据的道德价值.
主要成果:
- 歌词和音频功能都显著预测道德价值观.
- 结合歌词和音频数据的多式模式实现了最高的预测准确性.
- 音频特征更能预测同理心和平等,而歌词更能预测等级制度和传统.
结论:
- 音乐选择,反映在歌词和音频中,包含有关个人的道德框架的宝贵信息.
- 歌词和声学分析的结合提供了一个强大的方法来推断道德价值观.
- 这些发现对个性化的音乐体验,音乐治疗和沟通策略有影响.
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