论文标题
#Coronavirus或#ChineseVirus？！
#Coronavirus or #Chinesevirus?!: Understanding the negative sentiment reflected in Tweets with racist hashtags across the development of COVID-19
论文作者
论文摘要
我们的研究位于Covid-19的全球爆发中，丰富了有关在社交媒体上新兴种族主义和仇外心理的讨论。通过从Twitter提取的大数据，我们重点介绍了以种族主义主题标签标记的推文中反映的负面情绪的分析，因为种族主义和仇外心理更有可能通过负面情绪传递。尤其是，我们提出了一种基于阶段的方法，以捕获Covid-19的三个发展阶段如何变化，在该阶段下，它将其从国内流行病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认识到带有种族主义主题标签的推文的负面情绪，而关键字提取允许在这些推文表达负面情绪时发现主题。在这种人类的公共卫生危机下，这种基于阶段的方法使我们能够为制定特定阶段的干预策略提供政策建议，以更有效的方式在社交媒体上打击种族主义和仇外心理。
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.
