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Accepted for/Published in: JMIR Formative Research

Date Submitted: Mar 29, 2021
Date Accepted: Mar 29, 2022
Date Submitted to PubMed: Apr 21, 2022

The final, peer-reviewed published version of this preprint can be found here:

Types of Racism and Twitter Users’ Responses Amid the COVID-19 Outbreak: Content Analysis

Lloret-Pineda A, He Y, Haro JM, Cristóbal-Narvaez P

Types of Racism and Twitter Users’ Responses Amid the COVID-19 Outbreak: Content Analysis

JMIR Form Res 2022;6(5):e29183

DOI: 10.2196/29183

PMID: 35446780

PMCID: 9122024

“Types of Racism and Twitter User’s Responses amid the Coronavirus Outbreak: Content Analysis”

  • Amanda Lloret-Pineda; 
  • Yuelu He; 
  • Josep Maria Haro; 
  • Paula Cristóbal-Narvaez

ABSTRACT

Background:

When the first COVID-19 cases were noticed in China, many racist comments on Chinese individuals spread. As there is a huge need to better comprehend why all these targeted comments and opinions developed specifically then, this paper emerged to carefully examine racism and advocacy efforts on Twitter in the first trimester of 2020 (from January 15th to March 3rd, 2020).

Objective:

The first question aimed to understand which type of racism was displayed on Twitter during the first semester of 2020. The second question was to inquire about Twitter users' positive and negative responses regarding racism towards Chinese individuals.

Methods:

Content analysis was utilized. Using the NCapture browser link and the NVivo software, Tweets in English and Spanish from the Twitter data stream were pulled from January 15th to March 3rd, 2020. A total of 19,150 Tweets were captured using the advanced Twitter search engine with the keywords and hashtags #nosoyunvirus, #imNotAVirus, #ChineseDon’tComeToJapan, #racism, “No soy un virus” and,” Racismo Coronavirus.” After cleaning data, a total of 402 Tweets were codified and analyzed by the research team.

Results:

Data confirms racism against Chinese individuals during the first trimester of 2020. Tweets displayed individual, cultural, and institutional racism. Individual racism was the most reported form of racism—specifically, physical and verbal aggression. As a form of resistance, Twitter users created spaces for advocacy and activism. The hashtag “I am not a virus” helped to break stereotypes, prejudice, and discrimination on Twitter. Advocacy efforts were enormous inside and outside the Chinese community; an allyship sentiment was fostered by some White members and an identification with the oppression experienced by Chinese in the Black and Muslim worldwide community. Activism through social media manifested through art, food sharing, and community support.

Conclusions:

Tweets displayed individual, cultural, and institutional racism against Chinese individuals. Individual racism was the most reported form of racism—specifically, physical and verbal aggression. As a form of resistance against racism, Twitter users created spaces for advocacy and activism. The hashtag “I am not a virus” helped break stereotypes, prejudice, and discrimination on Twitter. White, Black, and Muslim allyship relationships were also present to support Chinese individuals. Activism through social media manifested through art, food sharing, and community support.


 Citation

Please cite as:

Lloret-Pineda A, He Y, Haro JM, Cristóbal-Narvaez P

Types of Racism and Twitter Users’ Responses Amid the COVID-19 Outbreak: Content Analysis

JMIR Form Res 2022;6(5):e29183

DOI: 10.2196/29183

PMID: 35446780

PMCID: 9122024

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.

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