外国人的欢迎? 用潜伏语义分析 (LSA) 对德国大众媒体话语的变化进行分类
Arianna Haviv Zehner1, Marco Fölsch1, Natalja Menold1
1Institute for Sociology, Dresden University of Technology, Dresden, Germany.
PloS one
|February 13, 2026
概括
潜伏语义分析 (LSA) 揭示了德国关于外国人融入的媒体话语的演变. 虽然社会融合提及增加,情感分析显示中立而不是积极的框架,其他主题反映了负面偏见.
科学领域:
- 计算社会科学 计算社会科学
- 媒体研究 媒体研究
- 计算语言学 计算语言学
背景情况:
- 传统的媒体分析方法,如术语流行率和偏见检测有局限性.
- 新的计算方法为媒体话语提供了更深入的见解.
- 德国总社会调查 (GGSS) 为媒体分析提供了有价值的数据集.
研究的目的:
- 归类和比较德国媒体中关于外国人移民和融入的论述.
- 分析竞争性话语叙事的演变随着时间的推移.
- 探索潜伏语义分析 (LSA) 在媒体分析中的应用.
主要方法:
- 从2006年到2021年,在超过10,000篇德国媒体文章中使用了潜伏语义分析 (LSA).
- 专注于与"外国人" (Ausländer) 相关的复合术语,如"Ausländer问题"和"Ausländer整合".
- 将术语分为四个话语类别:行政和政策,社会融合,仇外心理和限制移民. 进行了情感分析.
主要成果:
- 随着时间的推移,与"社会融合"有关的话语在德国媒体中变得越来越普遍.
- 情绪分析表明",社会融合"话语主要是中立的.
- 其他话语类别,包括"仇外心理"和"限制移民",表现出负面偏见.
结论:
- 隐性语义分析 (LSA) 为分析复杂的媒体话语提供了一个强大的方法.
- 越来越多的"社会一体化"话语的中立情绪需要进一步调查.
- 计算方法可以增强媒体分析,但对调查数据的上下文化仍然至关重要.
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