Abstract To understand rural–urban differences in stressors, this study compared the cognitive and emotional language in geolocated Twitter posts in the United States against survey-reported county-level trends from the Gallup-Sharecare Well-Being Index. Mentions of stress on Twitter can predict population-level trends in stress in both rural (R2=31.6%) and urban (R2=26.7%) communities. While mentions of poor health are limited to only rural areas with low socioeconomic status, higher emotional expression is associated with higher stress across all rural communities. Controlling for socioeconomic status, urban communities reporting higher stress are also more likely to discuss relationships on Twitter. The findings contribute to an understanding of how language use on social media acts as a barometer of the social and cultural differences between regions. The data and stress topics developed in this paper are publicly available and can be accessed at https://osf.io/af8ce/ .

中文翻译：

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城乡压力鸿沟：通过 Twitter 获取地理洞察

摘要 为了了解压力源的城乡差异，本研究将美国地理定位 Twitter 帖子中的认知和情感语言与 Gallup-Sharecare 幸福指数中调查报告的县级趋势进行了比较。在 Twitter 上提及压力可以预测农村 (R2=31.6%) 和城市 (R2=26.7%) 社区的人口压力趋势。虽然提到健康状况不佳的情况仅限于社会经济地位较低的农村地区，但所有农村社区的更高的情绪表达与更高的压力有关。控制社会经济地位后，报告较高压力的城市社区也更有可能在 Twitter 上讨论人际关系。这些发现有助于理解社交媒体上的语言使用如何充当地区之间社会和文化差异的晴雨表。本文中开发的数据和压力主题是公开的，可以通过 https://osf.io/af8ce/ 访问。