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

Autor:	Lloret-Pineda A; Research and Development Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain., He Y; Research and Development Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain., Haro JM; Research and Development Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain.; Centre for Biomedical Research on Mental Health, Madrid, Spain., Cristóbal-Narváez P; Research and Development Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain.; Centre for Biomedical Research on Mental Health, Madrid, Spain.
Jazyk:	angličtina
Zdroj:	JMIR formative research [JMIR Form Res] 2022 May 19; Vol. 6 (5), pp. e29183. Date of Electronic Publication: 2022 May 19.
DOI:	10.2196/29183
Abstrakt:	Background: When the first COVID-19 cases were noticed in China, many racist comments against Chinese individuals spread. As there is a huge need to better comprehend why all of these targeted comments and opinions developed specifically at the start of the outbreak, we sought to carefully examine racism and advocacy efforts on Twitter in the first quarter of 2020 (January 15 to March 3, 2020). Objective: The first research question aimed to understand the main type of racism displayed on Twitter during the first quarter of 2020. The second research question focused on evaluating Twitter users' positive and negative responses regarding racism toward Chinese individuals. Methods: Content analysis of tweets was utilized to address the two research questions. Using the NCapture browser link and NVivo software, tweets in English and Spanish were pulled from the Twitter data stream from January 15 to March 3, 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 the data, a total of 402 tweets were codified and analyzed. Results: The data confirmed clear sentiments of racism against Chinese individuals during the first quarter of 2020. The tweets displayed individual, cultural, and institutional racism. Individual racism was the most commonly reported form of racism, specifically displaying 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. Conclusions: Advocacy efforts were enormous both inside and outside the Chinese community; an allyship sentiment was fostered by some white users, and an identification with the oppression experienced by the Chinese population was expressed in the Black and Muslim worldwide communities. Activism through social media manifested through art, food sharing, and community support. (©Amanda Lloret-Pineda, Yuelu He, Josep Maria Haro, Paula Cristóbal-Narváez. Originally published in JMIR Formative Research (https://formative.jmir.org), 19.05.2022.)
Databáze:	MEDLINE
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