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Perhaps the most controversial questions in the study of online platformstoday surround the extent to which platforms can intervene to reduce thesocietal ills perpetrated on them. Up for debate is whether there exist anyeffective and lasting interventions a platform can adopt to address, e.g.,online bullying, or if other, more far-reaching change is necessary to addresssuch problems. Empirical work is critical to addressing such questions. But itis also challenging, because it is time-consuming, expensive, and sometimeslimited to the questions companies are willing to ask. To help focus and informthis empirical work, we here propose an agent-based modeling (ABM) approach. Asan application, we analyze the impact of a set of interventions on a simulatedonline dating platform on the lack of long-term interracial relationships in anartificial society. In the real world, a lack of interracial relationships area critical vehicle through which inequality is maintained. Our work shows thatmany previously hypothesized interventions online dating platforms could taketo increase the number of interracial relationships from their website havelimited effects, and that the effectiveness of any intervention is subject toassumptions about sociocultural structure. Further, interventions that areeffective in increasing diversity in long-term relationships are at odds withplatforms' profit-oriented goals. At a general level, the present work showsthe value of using an ABM approach to help understand the potential effects andside effects of different interventions that a platform could take.

An Agent-based Model to Evaluate Interventions on Online Dating Platforms to Decrease Racial Homogamy