病毒传播的概念:使用机器学习在野生环境中发现魅力
1Department of Sociology, University of Hong Kong, Hong Kong, Hong Kong.
The British journal of sociology
|September 14, 2024
概括
社会学家们常常忽视"魅力"的流行用法,但这项研究分析了它的民俗含义. 机器学习揭示了社会科学如何利用魅力来弥合学术和流行话语,挑战传统观点.
科学领域:
- 社会学 社会学 社会学
- 语言学的语言学.
- 计算社会科学 计算社会科学
背景情况:
- 术语"魅力"是一个关键的社会学概念,已经进入常用语言.
- 人们对魅力的释往往与其最初的社会学定义有所不同.
- 了解"魅力"的口语对于概念发展至关重要.
研究的目的:
- 在学术和社交媒体背景下分析"魅力"的演讲领域.
- 确定不同的光谱,区分"魅力"的社会学和非社会学用途.
- 检查社会科学对"魅力"的使用方式如何与其流行的含义有关.
主要方法:
- 利用机器学习分析了四个体:韦伯的著作,JSTOR文章",X"帖子带有"魅力"和"X"帖子带有"风趣".
- 识别了含义结构和三个光谱,以区分"魅力"的不同用途.
- 对比社会科学使用与韦伯式和流行的话语.
主要成果:
- 社会科学对"魅力"的应用在不同社会学和流行学领域之间处于中间位置.
- 发现了三个差异化的光谱:结构性与个体有效性,分析性与可取/道德性,关系性与个性化的本体学.
- 证明学者参与并为"魅力"的普及做出贡献.
结论:
- 关于"魅力"的社会科学话语并不严格地与韦伯的理论保持一致,并且受到流行用法的影响.
- 学者们无意中参与了他们批评的"魅力"的"俗化".
- 建议在学术环境中建设性地参与流行魅力.
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