论文标题
部分可观测时空混沌系统的无模型预测
Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic
论文作者
论文摘要
Covid-19-19的大流行使全球的日常生活更加颠覆，对公共卫生构成威胁。直觉上，我们希望案件和死亡会导致恐惧，困扰和其他负面情绪。但是，使用最先进的方法来衡量在大流行早期发布的社交媒体信息中的情绪，情感和道德问题，我们看到积极影响的违反直觉上升。我们假设阳性的增加与不确定性和情绪调节的减少有关。最后，我们确定了在美国第一次死亡后出现的道德和情感反应中的党派鸿沟。总体而言，这些结果表明，自大流行开始以来，集体情绪状态如何改变，以及社交媒体如何提供有用的工具来理解甚至调节人类影响的不同模式。
The COVID-19 pandemic has upended daily life around the globe, posing a threat to public health. Intuitively, we expect that surging cases and deaths would lead to fear, distress and other negative emotions. However, using state-of-the-art methods to measure sentiment, emotions, and moral concerns in social media messages posted in the early stage of the pandemic, we see a counter-intuitive rise in positive affect. We hypothesize that the increase of positivity is associated with a decrease of uncertainty and emotion regulation. Finally, we identify a partisan divide in moral and emotional reactions that emerged after the first US death. Overall, these results show how collective emotional states have changed since the pandemic began, and how social media can provide a useful tool to understand, and even regulate, diverse patterns underlying human affect.
