The rural–urban stress divide: Obtaining geographical insights through Twitter

作者：

Highlights：

• Methods to derive data-driven dictionaries from social media, validated against survey data on community-level outcomes.

• Social media mentions of stress discuss appraisal, problems, and coping processes aligning with psychological theory.

• Controlling for socioeconomic status, rural areas with higher stress are more emotionally expressive on Twitter.

• Controlling for socioeconomic status, urban areas with higher stress are more likely to discuss relationships on Twitter.

摘要

•Methods to derive data-driven dictionaries from social media, validated against survey data on community-level outcomes.•Social media mentions of stress discuss appraisal, problems, and coping processes aligning with psychological theory.•Controlling for socioeconomic status, rural areas with higher stress are more emotionally expressive on Twitter.•Controlling for socioeconomic status, urban areas with higher stress are more likely to discuss relationships on Twitter.

论文关键词：Social media,Cognitive appraisal,Emotional expression,Linguistic analysis,Stress,Prediction,Communities,Emotion,Sentiment analysis

论文评审过程：Received 4 April 2020, Revised 17 August 2020, Accepted 28 August 2020, Available online 2 September 2020, Version of Record 18 September 2020.

论文官网地址：https://doi.org/10.1016/j.chb.2020.106544