Documenting the Rise of Anxiety in the United States across Space and Time by Using Text Analysis of Online Review Data

IF 3 Q1 SOCIOLOGY
Socius Pub Date : 2023-01-01 DOI:10.1177/23780231231207635
Balázs Kovács
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Abstract

In this article, the author demonstrates how one can use large-scale and publicly available online review data to study the rise in anxiety in the United States. Using the anxiety keyword list from the dictionary compiled by Linguistic Inquiry and Word Count, the author analyzed the text of approximately 7 million online reviews submitted by Yelp reviewers across 13 U.S. states from 2006 to 2021. The overall pattern confirms existing discourse that anxiety has been constantly rising in Western societies since 2000. Beyond documenting the overall pattern, online review data enable the disaggregation of this pattern by geographies, price levels, and individuals, thereby providing a more comprehensive and detailed picture than previously documented in existing literature. Additional analysis shows that anxiety is increasing faster than other emotions, such as anger and sadness.
通过对在线评论数据的文本分析,跨越时空记录美国焦虑的兴起
在这篇文章中,作者展示了如何使用大规模和公开的在线评论数据来研究美国焦虑的上升。作者利用语言调查和单词统计编纂的词典中的焦虑关键词列表,分析了2006年至2021年美国13个州的Yelp评论者提交的约700万篇在线评论的文本。总体格局证实了现有的论述,即自2000年以来,西方社会的焦虑情绪一直在不断上升。除了记录整体模式之外,在线评论数据还可以按地理位置、价格水平和个人对这种模式进行分解,从而提供比现有文献中先前记录的更全面和详细的图片。另一项分析表明,焦虑比愤怒和悲伤等其他情绪增长得更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Socius
Socius Social Sciences-Social Sciences (all)
CiteScore
5.10
自引率
6.70%
发文量
84
审稿时长
8 weeks
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