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.

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剖析 COVID-19 期间的种族偏见：谁在澳大利亚和美国表现出反亚裔情绪？


COVID-19 爆发后，世界各地的反亚裔种族主义有所增加，虐待和仇恨犯罪事件增多就证明了这一点。为了更好地了解反亚裔种族主义的规模以及可能表达种族偏见的人的特征，我们对 2020 年 8 月 31 日至 9 月 9 日期间澳大利亚和美国的受访者进行了抽样调查（1375 名澳大利亚人和 1060 名年龄在 18 岁或以上的美国人；来源尤格夫）。为了解决潜在的社会期望偏差，我们使用直接和间接（列表实验）问题来衡量反亚裔情绪，并将这些变量与关键社会经济因素联系起来。我们发现，反亚裔情绪并没有在普通人群中普遍存在，而是在不同国家背景和社会经济群体中表现出不同的模式。在美国，反亚裔偏见最重要的预测因素是政治立场。相比之下，在澳大利亚，反亚裔偏见与广泛的社会经济因素密切相关，包括政治立场、年龄、性别、就业状况和收入。