中国的病原体流行、集体主义与网络悲伤表达*:专题报告“Covid-19与计算社会心理学”

Hao Chen, Bin Hong, Hui-Lin Zang
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引用次数: 1

摘要

线上集体情绪在宏观层面上存在区域分布差异,与线下实际集体行为密切相关。因此,有必要了解其潜在因素。研究表明,个人主义-集体主义显著影响集体情绪的空间分布,同时也受到病原体流行等社会生态因素的影响。在此基础上,我们假设病原体的流行通过集体主义影响集体的快乐和悲伤。利用公共档案数据、现有区域集体主义指数和中国微博情感表达数据,我们研究了病原体流行对中国省级幸福和悲伤表达的影响。结果表明,病原菌的流行程度对悲伤情绪的表达有正向的预测作用,而集体主义介导了这种影响。然而,我们没有发现病原体的流行抑制了集体主义的快乐表达。最后,我们讨论了这些发现如何为有关网络情感表达的研究和可能的未来方向提供启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pathogen Prevalence, Collectivism and Online Sadness Expression in China *: for Special Track “Covid-19 and Computational Social Psychology”
Online collective emotions have regional distribution differences on the macro-level, and it is closely related to the actual offline collective behavior. Therefore, it is necessary to understand the underlying factors. Studies have shown that individualism-collectivism significantly affects the spatial distribution of collective emotions, and it also is affected by social and ecological factors such as pathogen prevalence. Based on this, we hypothesized that the pathogen prevalence affects collective happiness and sadness by collectivism. Using public archival data, existing regional collectivism index, and emotional expression data in Chinese micro-blog Weibo, we examine the impact of pathogen prevalence on the expression of happiness and sadness at the province-level in China. The results showed that the pathogen prevalence positively predicted the expression of sadness, and collectivism mediated this influence. However, we didn't find that the pathogen prevalence suppressed the expression of happiness through collectivism. Finally, we discussed how the findings shed light on research concerning online emotional expression and possible future directions.
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