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On the automatic evaluation of social exemplars
Luigi Castelli1, Cristina Zogmaister, Eliot R Smith
1Dipartimento di Psicologia dello Sviluppo e della Socializzazione, Universita di Padova, Padova, Italy. castelli.luigi @unipd.it
Journal of Personality and Social Psychology
|March 11, 2004
Summary
Past group learning automatically retrieves associated evaluations, even without category cues. Stored evaluations influence behavior, impacting person perception and out-group discrimination.
Area of Science:
- Social Psychology
- Cognitive Psychology
- Person Perception
Background:
- Learned associations between groups and evaluations are fundamental to social cognition.
- Understanding automatic retrieval processes is key to explaining implicit biases and group dynamics.
Purpose of the Study:
- To investigate the automatic retrieval of learned group evaluations.
- To examine the influence of stored evaluations on responses, independent of category cues.
- To explore the role of these processes in in-group/out-group differentiation and spontaneous behavior.
Main Methods:
- Experimental studies involving learned group memberships and subsequent encounters with exemplars.
- Manipulation of perceptual and semantic cues to assess automatic evaluation retrieval.
- Measurement of behavioral responses, including approach-avoidance tendencies.
Main Results:
- Confirmed automatic retrieval of group evaluations upon encountering exemplars, even without explicit category information.
- Demonstrated that stored evaluations influence responses even when original semantic information is inaccessible.
- Extended findings to in-group/out-group contexts, highlighting their role in social differentiation.
- Observed spontaneous approach-avoidance behaviors linked to learned group representations.
Conclusions:
- Person-based representations and their associated evaluations exert pervasive, often unintentional, influence.
- Findings support and extend current models of person perception and out-group discrimination.
- Highlights the automatic and robust nature of learned social evaluations.