Reviving the "Yellow Peril" Digitally: Anti-Asian Hate on Twitter During the COVID-19 Pandemic

被引：0

作者：

Tu, Fangjing ^{[1
]}

Jiang, Shanshan ^{[2
]}

Gong, Xue ^{[1
]}

机构：

[1] Univ Wisconsin Madison, Madison, WI 53715 USA

[2] Univ Calif Berkeley, Berkeley, CA 94720 USA

来源：

INTERNATIONAL JOURNAL OF COMMUNICATION | 2024年 / 18卷

关键词：

anti-Asian racism; social media; public opinion; COVID-19; elite cues; unemployment; TIME-SERIES; VIOLENCE; DISCRIMINATION; IMMIGRATION; ATTITUDES; SPEECH; CUES;

D O I：

暂无

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

Racist sentiments against Asian, specifically Chinese, communities have risen alongside the COVID-19 pandemic. Combining Twitter data, employment data, and COVID-19 case data, this study uses interrupted time series analysis and traditional time series analysis to investigate how the revival of anti-Asian sentiments on Twitter has been facilitated by the combination of elite discourse on social media, economic slowdown, and public health crises. Results suggest that tweets about the "Chinese virus" from former president Trump serve as elite cues that positively and significantly impact the spread of anti-Asian hate on Twitter. This correlation is unidirectional. In addition, newly confirmed COVID-19 cases and unemployment rates are also positively correlated with the increase in anti-Asian hate tweets. The results draw attention to how the historical racialization of Asian populations has been extended to the social media arena during the public health crisis.

引用

页码：1765 / 1788

页数：24

共 78 条

[61] From Hashtag to Hate Crime: Twitter and Antiminority Sentiment [J].