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

Authors

Jennifer Lambe, University of DelawareFollow
Dannagal Young, University of DelawareFollow
Amy Bleakley, University of DelawareFollow
John P. Crowley, University of DelawareFollow
Kami Silk, University of DelawareFollow

Abstract

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.

Recommended Citation

Lambe, Jennifer; Young, Dannagal; Bleakley, Amy; Crowley, John P.; and Silk, Kami (2021) "Predictors of Anti-Asian Xenophobia During Covid-19: Towards Developing Targeted Intervention Campaigns," Journal of Hate Studies: Vol. 17: Iss. 1, Article 11.
DOI: 10.33972/jhs.204
Available at: https://repository.gonzaga.edu/jhs/vol17/iss1/11

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.