We present the results of an experiment documenting racial bias on Meta's Advertising Platform in Brazil and the United States. We find that darker skin complexions are penalized, leading to real economic consequences. For every \$1,000 an advertiser spends on ads with models with light-skin complexions, that advertiser would have to spend \$1,159 to achieve the same level of engagement using photos of darker skin complexion models. Meta's budget optimization tool reinforces these viewer biases. When pictures of models with light and dark complexions are allocated a shared budget, Meta funnels roughly 64\% of the budget towards photos featuring lighter skin complexions.

翻译：我们展示了一项记录Meta广告平台在巴西和美国存在种族偏见的实验结果。我们发现深色肤色受到惩罚，导致实际的经济后果。广告商每在浅肤色模特广告上花费1,000美元，若想通过深肤色模特照片获得同等参与度，则需花费1,159美元。Meta的预算优化工具强化了这些观众偏见。当浅肤色与深肤色模特照片共享预算时，Meta会将约64%的预算分配给浅肤色照片。