Department of Public Health Sciences, Graduate School of Public Health, Seoul National University.
Department of Psychology, Sungkyunkwan University.
Emotion. 2023 Sep;23(6):1658-1669. doi: 10.1037/emo0001185. Epub 2022 Nov 10.
Emotions that are shared by a large number of people could broadly impact affective experiences at the individual level. Here, we used text mining on popular song lyrics-a cultural product that has been suggested to mirror emotions that many members of a society value and prefer-to track the changes in emotions over time. Morpheme frequency analysis and structural topic modeling on 2,962 hit K-pop songs from 1990 to 2019 showed converging evidence for increased positive emotional content and decreased negative emotional content embedded within the lyrics. This pattern of temporal shift in emotions aligned with rapid changes in South Korea in the past 30 years, notably a rise in individualism and ego orientation in a traditionally collectivistic culture, as well as economic growth. More generally, this study illustrates a strategy for tracking emotions that people value and prefer from large natural language data, supplementing existing methods such as self-reported surveys and laboratory experiments. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
大量人共有的情绪可能会广泛影响个体层面的情感体验。在这里，我们使用流行歌曲歌词的文本挖掘——一种被认为反映了社会中许多成员所重视和偏好的情绪的文化产品——来追踪情绪随时间的变化。对 1990 年至 2019 年间的 2962 首热门 K 流行歌曲进行词素频率分析和结构主题建模，结果显示出歌词中积极情绪内容的增加和消极情绪内容的减少具有趋同的证据。这种情绪的时间变化模式与过去 30 年来韩国的快速变化相吻合，特别是在传统的集体主义文化中，个人主义和自我取向的兴起，以及经济的增长。更广泛地说，这项研究说明了一种从大量自然语言数据中追踪人们重视和偏好的情绪的策略，补充了现有的方法，如自我报告调查和实验室实验。
