#冠状病毒还是#中国病毒？！：了解在COVID-19发展过程中带有种族主义标签的推文中反映的负面情绪
#Coronavirus or #Chinesevirus?!: Understanding the negative sentiment reflected in Tweets with racist hashtags across the development of COVID-19
摘要：
在全球爆发COVID-19的背景下，我们的研究丰富了关于社交媒体上出现的种族主义和仇外心理的讨论。通过从Twitter中提取的大数据，我们专注于分析带有种族主义标签的推文中反映的负面情绪，因为种族主义和仇外心理更有可能通过负面情绪传递。特别是，我们提出了一种基于阶段的方法，以捕捉负面情绪如何随着COVID-19的三个发展阶段而变化，在这三个阶段下，COVID-19从国内疫情转变为国际公共卫生紧急情况，后来又转变为全球大流行。在每个阶段，情感分析使我们能够识别带有种族主义标签的推文中的负面情绪，关键字提取允许发现这些推文表达负面情绪的主题。在这场人类公共健康危机下，这种基于阶段的方法使我们能够为制定针对特定阶段的干预策略提供政策建议，以更有效的方式打击社交媒体上的种族主义和仇外心理。
英文摘要：
Situated in the global outbreak of COVID-19, our study enriches the discussion concerning the emergent racism and xenophobia on social media. With big data extracted from Twitter, we focus on the analysis of negative sentiment reflected in tweets marked with racist hashtags, as racism and xenophobia are more likely to be delivered via the negative sentiment. Especially, we propose a stage-based approach to capture how the negative sentiment changes along with the three development stages of COVID-19, under which it transformed from a domestic epidemic into an international public health emergency and later, into the global pandemic. At each stage, sentiment analysis enables us to recognize the negative sentiment from tweets with racist hashtags, and keyword extraction allows for the discovery of themes in the expression of negative sentiment by these tweets. Under this public health crisis of human beings, this stage-based approach enables us to provide policy suggestions for the enactment of stage-specific intervention strategies to combat racism and xenophobia on social media in a more effective way.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
