一个基于代理的模型来评估在线约会平台上的干预措施，以减少种族同性恋
An Agent-based Model to Evaluate Interventions on Online Dating Platforms to Decrease Racial Homogamy
摘要：
也许今天在线平台研究中最有争议的问题是，平台可以在多大程度上进行干预，以减少对它们造成的社会弊病。有待讨论的是，是否存在任何有效和持久的干预措施，一个平台可以采取解决，例如，要解决这些问题，就必须进行更深远的变革。实证工作对解决这些问题至关重要。但它也具有挑战性，因为它耗时，昂贵，有时仅限于公司愿意提出的问题。为了帮助集中和通知这个实证工作，我们在这里提出了一个基于代理的建模（ABM）的方法。作为一个应用程序，我们分析了一组干预措施对人工社会中缺乏长期跨种族关系的模拟在线约会平台的影响。在现实世界中，种族间关系的缺乏是维持不平等的关键工具。我们的工作表明，许多先前假设的在线约会平台可以采取的干预措施，以增加其网站上的跨种族关系的数量，效果有限，并且任何干预措施的有效性都受到有关社会文化结构的假设的影响。此外，有效增加长期关系多样性的干预措施与平台以利润为导向的目标不一致。在一般层面上，目前的工作表明，使用ABM方法有助于了解平台可能采取的不同干预措施的潜在影响和副作用。
英文摘要：
Perhaps the most controversial questions in the study of online platforms today surround the extent to which platforms can intervene to reduce the societal ills perpetrated on them. Up for debate is whether there exist any effective and lasting interventions a platform can adopt to address, e.g., online bullying, or if other, more far-reaching change is necessary to address such problems. Empirical work is critical to addressing such questions. But it is also challenging, because it is time-consuming, expensive, and sometimes limited to the questions companies are willing to ask. To help focus and inform this empirical work, we here propose an agent-based modeling (ABM) approach. As an application, we analyze the impact of a set of interventions on a simulated online dating platform on the lack of long-term interracial relationships in an artificial society. In the real world, a lack of interracial relationships are a critical vehicle through which inequality is maintained. Our work shows that many previously hypothesized interventions online dating platforms could take to increase the number of interracial relationships from their website have limited effects, and that the effectiveness of any intervention is subject to assumptions about sociocultural structure. Further, interventions that are effective in increasing diversity in long-term relationships are at odds with platforms' profit-oriented goals. At a general level, the present work shows the value of using an ABM approach to help understand the potential effects and side effects of different interventions that a platform could take.
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