幸福取决于社会比较:推特语言的等级模型表明,更富有的邻居会让你更不快乐。

Salvatore Giorgi, Sharath Chandra Guntuku, Johannes C Eichstaedt, Claire Pajot, H Andrew Schwartz, Lyle H Ungar
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引用次数: 4

摘要

心理学研究表明,主观幸福感对社会比较效应敏感;当邻居挣得比自己多时,个人的幸福感会下降。在这项工作中,我们使用Twitter语言来估计用户的福祉,并使用分层模型对美国各县的个人和社区收入进行建模。我们从580万Twitter用户样本中得出的基于语言的估计与大规模幸福感调查的结果一致——即使在控制绝对收入的情况下,相对富裕的邻居也会导致较低的幸福感。此外,使用等级模型(即社区内的个人)预测个人层面的幸福感超出了标准基线。我们还研究了与相对收入差异相关的语言,发现收入低于社区的人倾向于咒骂(f*ck, sh*t, b*tch),表达愤怒(pissed, bullsh*t, wtf),犹豫(don't, more, idk, confused)和社会越界行为(weed, blunt, drunk)。这些结果表明,社会比较强烈地影响着报告的幸福感,Twitter语言分析既可以用来衡量这些影响,也可以用来揭示他们潜在的心理动态。
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Well-Being Depends on Social Comparison: Hierarchical Models of Twitter Language Suggest That Richer Neighbors Make You Less Happy.

Psychological research has shown that subjective well-being is sensitive to social comparison effects; individuals report decreased happiness when their neighbors earn more than they do. In this work, we use Twitter language to estimate the well-being of users, and model both individual and neighborhood income using hierarchical modeling across counties in the United States (US). We show that language-based estimates from a sample of 5.8 million Twitter users replicate results obtained from large-scale well-being surveys - relatively richer neighbors leads to lower well-being, even when controlling for absolute income. Furthermore, predicting individual-level happiness using hierarchical models (i.e., individuals within their communities) out-predicts standard baselines. We also explore language associated with relative income differences and find that individuals with lower income than their community tend to swear (f*ck, sh*t, b*tch), express anger (pissed, bullsh*t, wtf), hesitation (don't, anymore, idk, confused) and acts of social deviance (weed, blunt, drunk). These results suggest that social comparison robustly affects reported well-being, and that Twitter language analyses can be used to both measure these effects and shed light on their underlying psychological dynamics.

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