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Updated: Jun 13, 2026

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Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
Published on: December 24, 2015
Changing the narrative: stories reduce biases against anomalous faces
Nadir Bilici1, Mariola Paruzel-Czachura2,3, Clifford I Workman4
1Department of Neurology, Mount Sinai Health System, New York, USA.
BMC Psychology
|June 12, 2026
Summary
Repeated mobile exposure to faces with visible differences paired with positive stories improved automatic evaluations. This intervention shows promise for reducing stigma associated with facial anomalies.
Area of Science:
- Psychology
- Social Psychology
- Stigma Research
Background:
- Facial anomalies are often associated with negative stereotypes, impacting social perceptions of warmth and morality.
- The "anomalous-is-bad" stereotype links visible differences to negative traits.
- Automatic evaluations, or implicit biases, can perpetuate social stigma.
Purpose of the Study:
- To develop and test the "Normalizing Anomalies with Mobile Exposure" (NAME) intervention.
- To investigate if repeated exposure to faces with visible anomalies and positive narratives can shift automatic evaluations.
- To assess the impact of the intervention on both implicit and explicit attitudes.
Main Methods:
- A between-subjects design was employed with two intervention groups.
- Participants received daily mobile app sessions for five consecutive days.
- One group viewed faces with visible anomalies paired with praiseworthy narratives; the control group viewed typical faces with similar narratives.
Main Results:
- Implicit evaluations of targeted faces became more positive over the intervention period.
- The group exposed to anomalous faces showed the most significant target-specific improvement in implicit attitudes.
- Explicit attitudes did not show significant changes.
Conclusions:
- Exposure-based storytelling via mobile applications can effectively alter automatic evaluations of individuals with facial anomalies.
- The NAME intervention offers a scalable approach to reducing stigma related to visible differences.
- Further research is needed to confirm the durability and generalizability of these findings to diverse populations.
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