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arXiv 提交日期: 2026-02-11
📄 Abstract - When are We Worried? Temporal Trends of Anxiety and What They Reveal about Us

In this short paper, we make use of a recently created lexicon of word-anxiety associations to analyze large amounts of US and Canadian social media data (tweets) to explore *when* we are anxious and what insights that reveals about us. We show that our levels of anxiety on social media exhibit systematic patterns of rise and fall during the day -- highest at 8am (in-line with when we have high cortisol levels in the body) and lowest around noon. Anxiety is lowest on weekends and highest mid-week. We also examine anxiety in past, present, and future tense sentences to show that anxiety is highest in past tense and lowest in future tense. Finally, we examine the use of anxiety and calmness words in posts that contain pronouns to show: more anxiety in 3rd person pronouns (he, they) posts than 1st and 2nd person pronouns and higher anxiety in posts with subject pronouns (I, he, she, they) than object pronouns (me, him, her, them). Overall, these trends provide valuable insights on not just when we are anxious, but also how different types of focus (future, past, self, outward, etc.) are related to anxiety.

顶级标签: natural language processing data behavior
详细标签: sentiment analysis temporal patterns social media anxiety lexicon psycholinguistics 或 搜索:

我们何时焦虑?焦虑情绪的时间趋势及其揭示的真相 / When are We Worried? Temporal Trends of Anxiety and What They Reveal about Us


1️⃣ 一句话总结

这篇论文通过分析社交媒体数据,揭示了人们焦虑情绪的日常和周期性变化规律,并发现焦虑程度与时间、人称代词以及时态(过去、现在、未来)的使用密切相关。

源自 arXiv: 2602.10400