Your browser doesn't support javascript.
Profiling racial prejudice during COVID-19: Who exhibits anti-Asian sentiment in Australia and the United States?
Tan, Xiao; Lee, Rennie; Ruppanner, Leah.
  • Tan X; University of Melbourne Parkville VIC Australia.
  • Lee R; University of Queensland, Institute for Social Science Research Indooroopilly QLD Australia.
  • Ruppanner L; University of Melbourne Parkville VIC Australia.
Aust J Soc Issues ; 56(4): 464-484, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1366209
ABSTRACT
Following the COVID-19 outbreak, anti-Asian racism increased around the world, as exhibited through greater instances of abuse and hate crimes. To better understand the scale of anti-Asian racism and the characteristics of people who may be expressing racial prejudice, we sampled respondents in Australia and the United States over 31 August-9 September 2020 (1375 Australians and 1060 Americans aged 18 or above; source YouGov). To address potential social desirability bias, we use both direct and indirect (list experiment) questions to measure anti-Asian sentiment and link these variables to key socioeconomic factors. We find that, instead of being universal among general populations, anti-Asian sentiment is patterned differently across both country contexts and socioeconomic groups. In the United States, the most significant predictor of anti-Asian bias is political affiliation. By contrast, in Australia, anti-Asian bias is closely linked to a wide range of socioeconomic factors including political affiliation, age, gender, employment status and income.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Aust J Soc Issues Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Aust J Soc Issues Year: 2021 Document Type: Article