Past research has studied social determinants of attitudes toward foreign countries. Confounded by potential endogeneity biases due to unobserved factors or reverse causality, the causal impact of these factors on public opinion is usually difficult to establish. Using social media data, we leverage the suddenness of the COVID-19 pandemic to examine whether a major global event has causally changed American views of another country. We collate a database of more than 297 million posts on the social media platform Twitter about China or COVID-19 up to June 2020, and we treat tweeting about COVID-19 as a proxy for individual awareness of COVID-19. Using regression discontinuity and difference-in-difference estimation, we find that awareness of COVID-19 causes a sharp rise in anti-China attitudes. Our work has implications for understanding how self-interest affects policy preference and how Americans view migrant communities.
翻译:过去的研究研究了对外国态度的社会决定因素。 被未观察到的因素或反向因果关系的潜在内在差异所困扰,这些因素对公众舆论的因果关系通常难以确定。 我们利用社交媒体数据,利用COVID-19大流行病的突发性来审查重大全球事件是否因果改变美国对另一个国家的看法。 我们整理了一个数据库,在2020年6月之前,在社交媒体平台Twitter上刊登了超过2.97亿个关于中国或COVID-19的留言,我们把关于COVID-19的推文作为个人认识COVID-19的代名词。我们利用回归不连续和差异估计,发现对COVID-19的认识导致反中国态度的急剧上升。我们的工作对了解自我利益如何影响政策偏好和美国人如何看待移民社区产生了影响。