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How will COVID-19 impact IMPLICIT Asian-American bias in 6 months (Oct 2020)?
The Behavioral Forecasting Collaborative organized by researchers at the University of Waterloo have been studying attitudes towards Asian-Americans. To study IMPLICIT Asian-American bias (i.e. stereotypes that are not directly expressed, rather they are implied), they obtained implicit stereotypes data from Project Implicit. Their research methods are as follows:
For implicit Asian-American bias, we used the implicit association test (IAT) which ranges from 0 to 1. In this test, positive IAT D scores indicate a relative preference for the White over Asian-American group. To correct sample non-representativeness, we weighted the estimates based on race, age, and political orientation.
Recently, they have expanded their research to include a new interest in how COVID-19 affects Asian-American bias. This question asks:
What will the difference in Implicit Associate Task score be for White vs. Asian-Americans for October 2020?
We will collect predictions until May 22nd as part of a tournament, and this question will resolve mid-November, according to the dataset available on their website.
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