TY - JOUR A1 - Joseph, Kenneth A1 - Morgan, Jonathan Howard T1 - Friend or Foe: A Review and Synthesis of Computational Models of the Identity Labeling Problem JF - The Journal of Mathematical Sociology N2 - 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. KW - Soziale Identität KW - Computational social science KW - Analytische Soziologie Y1 - 2021 U6 - https://doi.org/10.1080/0022250X.2021.1923016 SN - 1545-5874 PB - Taylor and Francis CY - London ER -