Youngki Hong

  • Assistant Professor
  • DEPARTMENT OF PSYCHOLOGY & NEUROSCIENCE

Research Interests: My research examines how people perceive others and process information about them. I draw on theories and methods from social psychology, cognitive neuroscience, and machine learning to study stereotyping and prejudice based on visual and non-visual cues, low-level perceptual processes in social perception, and interventions to reduce bias and discrimination.

 

Selected publications : 

Hong, Y., & Freeman, J. B. (2024). Shifts in facial impression structures across group boundaries. Social Psychological and Personality Science, 15(6), 619-629.

Hong, Y., Chua, C-W., & Freeman, J. B. (2024). Reducing facial stereotype bias in consequential social judgments: Intervention success with White male faces. Psychological Science, 35(1), 21-33.

Hong, Y., Reed, M., & Ratner, K. G. (2023). Facial stereotypes of competence (not trustworthiness and dominance) most resemble facial stereotypes of group membership. Social Cognition, 41(6), 562-578.

Hong, Y., Mayes, M. S., Munasinghe, A. P., & Ratner, K. G. (2022). Scrutinizing whether mere group membership influences the N170 response to faces: Results from two preregistered ERP studies. Journal of Cognitive Neuroscience, 34(11), 1999-2015.

Hong, Y., & Ratner, K. G. (2021). Minimal but not meaningless: Seemingly arbitrary category labels can imply more than group membership. Journal of Personality and Social Psychology, 120(3), 576-600.