2020 年 3 月 9 日至 23 日，推特上的“#covid19”与“#chinesevirus”与反亚裔情绪的关联。
Association of "#covid19" Versus "#chinesevirus" With Anti-Asian Sentiments on Twitter: March 9-23, 2020.
机构信息
Yulin Hswen is with the Department of Epidemiology and Biostatistics, Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco; and Computational Epidemiology Lab, Harvard Medical School, Boston, MA. Xiang Xu is with the Department of Statistics, Boston University, Boston. Anna Hing and Gilbert C. Gee are with the Department of Community Health Sciences, University of California Los Angeles. Jared B. Hawkins and John S. Brownstein are with the Innovation Program, Boston Children's Hospital, Boston.
出版信息
Am J Public Health. 2021 May;111(5):956-964. doi: 10.2105/AJPH.2021.306154. Epub 2021 Mar 18.
To examine the extent to which the phrases, "COVID-19" and "Chinese virus" were associated with anti-Asian sentiments. Data were collected from Twitter's Application Programming Interface, which included the hashtags "#covid19" or "#chinesevirus." We analyzed tweets from March 9 to 23, 2020, corresponding to the week before and the week after President Donald J. Trump's tweet with the phrase, "Chinese Virus." Our analysis focused on 1 273 141 hashtags. One fifth (19.7%) of the 495 289 hashtags with #covid19 showed anti-Asian sentiment, compared with half (50.4%) of the 777 852 hashtags with #chinesevirus. When comparing the week before March 16, 2020, to the week after, there was a significantly greater increase in anti-Asian hashtags associated with #chinesevirus compared with #covid19 ( < .001). Our data provide new empirical evidence supporting recommendations to use the less-stigmatizing term "COVID-19," instead of "Chinese virus."
为了考察“COVID-19”和“中国病毒”这两个短语与反亚裔情绪的关联程度，我们从 Twitter 的应用程序接口（Application Programming Interface）收集了数据，其中包括“#covid19”或“#chinesevirus”这两个标签。我们分析了 2020 年 3 月 9 日至 23 日（对应于唐纳德·J·特朗普总统发推使用“中国病毒”短语的前一周和后一周）的推文。我们的分析重点是 1273141 个标签。在与#covid19 相关的 495289 个标签中，有五分之一（19.7%）显示出反亚裔情绪，而与#chinesevirus 相关的 777852 个标签中，有一半（50.4%）显示出反亚裔情绪。与 2020 年 3 月 16 日之前的一周相比，之后的一周与#chinesevirus 相关的反亚裔标签显著增加，而与#covid19 相关的标签则没有显著增加（<.001）。我们的数据提供了新的经验证据，支持使用“COVID-19”这一不太带有污名化的术语，而不是“中国病毒”。
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