Literature DB >> 27149288

The perfect match: Do criminal stereotypes bias forensic evidence analysis?

Laura Smalarz1, Stephanie Madon2, Yueran Yang2, Max Guyll2, Sarah Buck3.   

Abstract

This research provided the first empirical test of the hypothesis that stereotypes bias evaluations of forensic evidence. A pilot study (N = 107) assessed the content and consensus of 20 criminal stereotypes by identifying perpetrator characteristics (e.g., sex, race, age, religion) that are stereotypically associated with specific crimes. In the main experiment (N = 225), participants read a mock police incident report involving either a stereotyped crime (child molestation) or a nonstereotyped crime (identity theft) and judged whether a suspect's fingerprint matched a fingerprint recovered at the crime scene. Accompanying the suspect's fingerprint was personal information about the suspect of the type that is routinely available to fingerprint analysts (e.g., race, sex) and which could activate a stereotype. Participants most often perceived the fingerprints to match when the suspect fit the criminal stereotype, even though the prints did not actually match. Moreover, participants appeared to be unaware of the extent to which a criminal stereotype had biased their evaluations. These findings demonstrate that criminal stereotypes are a potential source of bias in forensic evidence analysis and suggest that suspects who fit criminal stereotypes may be disadvantaged over the course of the criminal justice process. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

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Mesh:

Year:  2016        PMID: 27149288     DOI: 10.1037/lhb0000190

Source DB:  PubMed          Journal:  Law Hum Behav        ISSN: 0147-7307


  4 in total

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Journal:  Psychiatr Psychol Law       Date:  2020-11-03

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Authors:  Hilary J Hamnett; Itiel E Dror
Journal:  Forensic Sci Int       Date:  2020-06-30       Impact factor: 2.395

Review 3.  A practical tool for information management in forensic decisions: Using Linear Sequential Unmasking-Expanded (LSU-E) in casework.

Authors:  Adele Quigley-McBride; Itiel E Dror; Tiffany Roy; Brandon L Garrett; Jeff Kukucka
Journal:  Forensic Sci Int Synerg       Date:  2022-02-20

4.  Verifying unfamiliar identities: Effects of processing name and face information in the same identity-matching task.

Authors:  Anita Trinh; James D Dunn; David White
Journal:  Cogn Res Princ Implic       Date:  2022-10-12
  4 in total

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