Participants

Indian and US American Amazon Mechanical Turk workers (N = 479) were tested (69 Indian Females, 104 Indian Males, 129 US American Females and 177 US American Males). For our dataset, please see S1 Data in S1 File collection was done in three waves, between September 2017 and August 2018. The first of the three waves slightly differed from the other two in their comprehension check questions and the Affect Misattribution Procedure, the task we used to measure implicit bias (for more details on the recruitment and the data cleaning procedure please see S2 Appendix in S1 File). An additional 187 participants were tested but excluded because they failed comprehension checks either for the Dictator Game (4.65% of the total) or the Prisoner’s Dilemma (18.47% of the total), or reported speaking Mandarin or Cantonese (12.61% of the total), which was an exclusion criterion for the Affect Misattribution Procedure. Participants reported which age, salary and education brackets they fell into (a breakdown of this demographic information can be found in the S1 File, see S3 Table in S1 File). Note that our sample size is imbalanced with respect to the four social categorical combinations due to the availability of mTurk workers, as well as a differential propensity to pass comprehension checks and the language criteria.