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Association of "#covid19" Versus "#chinesevirus" With Anti-Asian Sentiments on Twitter: March 9-23, 2020.
Hswen, Yulin; Xu, Xiang; Hing, Anna; Hawkins, Jared B; Brownstein, John S; Gee, Gilbert C.
  • Hswen Y; 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 Un
  • Xu X; 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 Un
  • Hing A; 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 Un
  • Hawkins JB; 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 Un
  • Brownstein JS; 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 Un
  • Gee GC; 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 Un
Am J Public Health ; 111(5): 956-964, 2021 05.
Article in English | MEDLINE | ID: covidwho-1140581
ABSTRACT
Objectives. To examine the extent to which the phrases, "COVID-19" and "Chinese virus" were associated with anti-Asian sentiments.Methods. 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.Results. 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 (P < .001).Conclusions. Our data provide new empirical evidence supporting recommendations to use the less-stigmatizing term "COVID-19," instead of "Chinese virus."
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Asian People / Social Media / Racism / COVID-19 / Terminology as Topic Type of study: Experimental Studies Limits: Humans Country/Region as subject: North America Language: English Journal: Am J Public Health Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Asian People / Social Media / Racism / COVID-19 / Terminology as Topic Type of study: Experimental Studies Limits: Humans Country/Region as subject: North America Language: English Journal: Am J Public Health Year: 2021 Document Type: Article