Abstract
Abstract As algorithms become increasingly responsible for discovering information, how we choose to design them will have a significant impact on our collective lived experience. One example is how algorithmic bias affects the estimated 50 million people that make up the creator economy. This group of independent creators is financially dependent on recommender systems to suggest their content. Currently, most recommender system designs produce rich-get-richer dynamics, resulting in structural inequalities that favor some over others. This article details a design anthropology approach for creating a new model of sociality and business that rewards behavioral capital.
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