ABSTRACT

We introduce the identity labeling problem – given an individual in a social situation, can we predict what identity(ies) they will be labeled with by someone else? This problem remains a theoretical gap and methodological challenge, evidenced by the fact that models of social-cognition often sidestep the issue by treating identities as already known. We build on insights from existing models to develop a new framework, entitled Latent Cognitive Social Spaces, that can incorporate multiple social cues including sentiment information, socio-demographic characteristics, and institutional associations to estimate the most culturally expected identity. We apply our model to data collected in two vignette experiments, finding that it predicts identity labeling choices of participants with a mean absolute error of 10.9%, a 100% improvement over previous models based on parallel constraint satisfaction and affect control theory.

摘要

我们引入了身份标签问题——给定一个处于社会情境中的个人，我们能否预测他们将被其他人贴上什么样的身份标签？这个问题仍然是一个理论差距和方法论挑战，社会认知模型经常通过将身份视为已知的来回避这个问题就证明了这一点。我们基于现有模型的见解开发了一个名为“潜在认知社会空间”的新框架，该框架可以结合多种社会线索，包括情感信息、社会人口特征和制度关联，以估计最具文化预期的身份。我们将我们的模型应用于在两个小插曲实验中收集的数据，发现它可以预测参与者的身份标签选择，平均绝对误差为 10.9%，