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Pathogen Prevalence, Collectivism and Online Sadness Expression in China *: for Special Track “Covid-19 and Computational Social Psychology”

机译:中国病原体流行,集体主义和在线悲伤表达*:特别轨道“Covid-19和计算社会心理学”

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摘要

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.
机译:在线集体情绪对宏观级别有区域分布差异,而且与实际离线集体行为密切相关。因此,有必要了解潜在的因素。研究表明,个人主义 - 集体主义显着影响集体情绪的空间分布,也受到社会和生态因素的影响,如病原体患病率。基于这一点,我们假设病原体患病率影响集体主义影响集体幸福和悲伤。中国微博博中的公共档案数据,现有的区域集体主义指数和情绪表达数据,我们研究了病原体患病率对中国省级幸福和悲伤表达的影响。结果表明,病原体患病率正呈现出悲伤的表达,而集体主义介导这种影响。然而,我们没有发现病原体流行率通过集体主义抑制了幸福的表达。最后,我们讨论了研究结果如何阐明关于在线情绪表达和可能的未来方向的研究。

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