COVID-19: A Pandemic of Anti-Asian Cyberhate

Hateful online attacks targeting individuals of Asian descent have increased dramatically in the wake of the coronavirus pandemic. This study examines daily trends in inflammatory keywords associated with anti-Asian cyberhate using data collected from Twitter between January 1, 2020 and February 28,...

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Autores principales: Matthew Costello, Long Cheng, Feng Luo, Hongxin Hu, Song Liao, Nishant Vishwamitra, Mingqi Li, Ebuka Okpala
Formato: article
Lenguaje:EN
Publicado: Gonzaga Library Publishing 2021
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Acceso en línea:https://doaj.org/article/40ccdf860c4a4522a5522f8cabe4337d
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spelling oai:doaj.org-article:40ccdf860c4a4522a5522f8cabe4337d2021-11-08T08:10:53ZCOVID-19: A Pandemic of Anti-Asian Cyberhate2169-744210.33972/jhs.198https://doaj.org/article/40ccdf860c4a4522a5522f8cabe4337d2021-10-01T00:00:00Zhttps://jhs.press.gonzaga.edu/articles/198https://doaj.org/toc/2169-7442Hateful online attacks targeting individuals of Asian descent have increased dramatically in the wake of the coronavirus pandemic. This study examines daily trends in inflammatory keywords associated with anti-Asian cyberhate using data collected from Twitter between January 1, 2020 and February 28, 2021. Additionally, we explore the sentiment of tweets and track the evolution of discourse on Twitter regarding Asians and the coronavirus. Our results indicate that the usage of inflammatory keywords associated with anti-Asian hate on Twitter rose dramatically at the outset of the outbreak, and then spiked at various points over the next fourteen months. Notably, offline events and rhetoric appear to have affected the rate of hateful tweets about the pandemic targeting Asians. Additionally, we find that discourse on Twitter around the words 'China, Chinese, Asians', and 'virus' has become increasingly negative and stigmatizing during the course of the coronavirus outbreak.Matthew CostelloLong ChengFeng LuoHongxin HuSong LiaoNishant VishwamitraMingqi LiEbuka OkpalaGonzaga Library PublishingarticlePolitical science (General)JA1-92Social sciences (General)H1-99ENJournal of Hate Studies, Vol 17, Iss 1 (2021)
institution DOAJ
collection DOAJ
language EN
topic Political science (General)
JA1-92
Social sciences (General)
H1-99
spellingShingle Political science (General)
JA1-92
Social sciences (General)
H1-99
Matthew Costello
Long Cheng
Feng Luo
Hongxin Hu
Song Liao
Nishant Vishwamitra
Mingqi Li
Ebuka Okpala
COVID-19: A Pandemic of Anti-Asian Cyberhate
description Hateful online attacks targeting individuals of Asian descent have increased dramatically in the wake of the coronavirus pandemic. This study examines daily trends in inflammatory keywords associated with anti-Asian cyberhate using data collected from Twitter between January 1, 2020 and February 28, 2021. Additionally, we explore the sentiment of tweets and track the evolution of discourse on Twitter regarding Asians and the coronavirus. Our results indicate that the usage of inflammatory keywords associated with anti-Asian hate on Twitter rose dramatically at the outset of the outbreak, and then spiked at various points over the next fourteen months. Notably, offline events and rhetoric appear to have affected the rate of hateful tweets about the pandemic targeting Asians. Additionally, we find that discourse on Twitter around the words 'China, Chinese, Asians', and 'virus' has become increasingly negative and stigmatizing during the course of the coronavirus outbreak.
format article
author Matthew Costello
Long Cheng
Feng Luo
Hongxin Hu
Song Liao
Nishant Vishwamitra
Mingqi Li
Ebuka Okpala
author_facet Matthew Costello
Long Cheng
Feng Luo
Hongxin Hu
Song Liao
Nishant Vishwamitra
Mingqi Li
Ebuka Okpala
author_sort Matthew Costello
title COVID-19: A Pandemic of Anti-Asian Cyberhate
title_short COVID-19: A Pandemic of Anti-Asian Cyberhate
title_full COVID-19: A Pandemic of Anti-Asian Cyberhate
title_fullStr COVID-19: A Pandemic of Anti-Asian Cyberhate
title_full_unstemmed COVID-19: A Pandemic of Anti-Asian Cyberhate
title_sort covid-19: a pandemic of anti-asian cyberhate
publisher Gonzaga Library Publishing
publishDate 2021
url https://doaj.org/article/40ccdf860c4a4522a5522f8cabe4337d
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