Predictors of Anti-Asian Xenophobia During Covid-19: Towards Developing Targeted Intervention Campaigns

Anti-Asian xenophobia (AAX) spiked during Covid-19, exacerbating health disparities among affected groups. This study uses data from a national survey to identify predictors of AAX to enable targeting of audience segments and effective messaging to counteract Anti-Asian attitudes and behaviors. Usin...

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Autores principales: Jennifer Lambe, Dannagal Young, Amy Bleakley, John P. Crowley, Kami Silk
Formato: article
Lenguaje:EN
Publicado: Gonzaga Library Publishing 2021
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Acceso en línea:https://doaj.org/article/136c43d2efe24acf9005a12cf98558f4
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spelling oai:doaj.org-article:136c43d2efe24acf9005a12cf98558f42021-11-08T08:10:53ZPredictors of Anti-Asian Xenophobia During Covid-19: Towards Developing Targeted Intervention Campaigns2169-744210.33972/jhs.204https://doaj.org/article/136c43d2efe24acf9005a12cf98558f42021-10-01T00:00:00Zhttps://jhs.press.gonzaga.edu/articles/204https://doaj.org/toc/2169-7442Anti-Asian xenophobia (AAX) spiked during Covid-19, exacerbating health disparities among affected groups. This study uses data from a national survey to identify predictors of AAX to enable targeting of audience segments and effective messaging to counteract Anti-Asian attitudes and behaviors. Using Intergroup Threat Theory (ITT) to pinpoint possible predictors, we find that situation specific variables such as favorability toward Trump and information seeking and avoidance behaviors consistently predict higher levels of AAX. Individual differences like being female, well-educated, and having a high tolerance for ambiguity are negatively related to AAX.Jennifer LambeDannagal YoungAmy BleakleyJohn P. CrowleyKami SilkGonzaga 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
Jennifer Lambe
Dannagal Young
Amy Bleakley
John P. Crowley
Kami Silk
Predictors of Anti-Asian Xenophobia During Covid-19: Towards Developing Targeted Intervention Campaigns
description Anti-Asian xenophobia (AAX) spiked during Covid-19, exacerbating health disparities among affected groups. This study uses data from a national survey to identify predictors of AAX to enable targeting of audience segments and effective messaging to counteract Anti-Asian attitudes and behaviors. Using Intergroup Threat Theory (ITT) to pinpoint possible predictors, we find that situation specific variables such as favorability toward Trump and information seeking and avoidance behaviors consistently predict higher levels of AAX. Individual differences like being female, well-educated, and having a high tolerance for ambiguity are negatively related to AAX.
format article
author Jennifer Lambe
Dannagal Young
Amy Bleakley
John P. Crowley
Kami Silk
author_facet Jennifer Lambe
Dannagal Young
Amy Bleakley
John P. Crowley
Kami Silk
author_sort Jennifer Lambe
title Predictors of Anti-Asian Xenophobia During Covid-19: Towards Developing Targeted Intervention Campaigns
title_short Predictors of Anti-Asian Xenophobia During Covid-19: Towards Developing Targeted Intervention Campaigns
title_full Predictors of Anti-Asian Xenophobia During Covid-19: Towards Developing Targeted Intervention Campaigns
title_fullStr Predictors of Anti-Asian Xenophobia During Covid-19: Towards Developing Targeted Intervention Campaigns
title_full_unstemmed Predictors of Anti-Asian Xenophobia During Covid-19: Towards Developing Targeted Intervention Campaigns
title_sort predictors of anti-asian xenophobia during covid-19: towards developing targeted intervention campaigns
publisher Gonzaga Library Publishing
publishDate 2021
url https://doaj.org/article/136c43d2efe24acf9005a12cf98558f4
work_keys_str_mv AT jenniferlambe predictorsofantiasianxenophobiaduringcovid19towardsdevelopingtargetedinterventioncampaigns
AT dannagalyoung predictorsofantiasianxenophobiaduringcovid19towardsdevelopingtargetedinterventioncampaigns
AT amybleakley predictorsofantiasianxenophobiaduringcovid19towardsdevelopingtargetedinterventioncampaigns
AT johnpcrowley predictorsofantiasianxenophobiaduringcovid19towardsdevelopingtargetedinterventioncampaigns
AT kamisilk predictorsofantiasianxenophobiaduringcovid19towardsdevelopingtargetedinterventioncampaigns
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