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Digital Detectives: Websleuthing Reduces Eyewitness Identification Accuracy in Police Lineups (dataset).xlsx

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posted on 04.08.2022, 14:10 authored by Camilla ElphickCamilla Elphick, Richard Philpot, Min Zhang, Avelie StuartAvelie Stuart, Graham PikeGraham Pike, Ailsa Strathie, Catriona HavardCatriona Havard, Zoe Walkington, Lara FrumkinLara Frumkin, Mark Levine, Blaine PriceBlaine Price, Arosha BandaraArosha Bandara, Bashar Nuseibeh

This dataset was used for the analysis in the article Digital Detectives: Websleuthing Reduces Eyewitness Identification Accuracy in Police Lineups. 


The article explores whether searching for a culprit on social media affects eyewitnesses' subsequent identification accuracy in a police lineup.


Results showed a significant association between social media exposure and lineup accuracy for the Target Present lineup (30% more of the participants who saw the lookalike on social media failed to positively identify the culprit than participants in the other conditions), but for the Target Absent lineup (which also included the lookalike) there was no significant association with lineup identification accuracy. 


The results suggest that if an eyewitness sees a lookalike (where they are expecting to see the culprit) when conducting a self-directed search on social media, they are less likely to subsequently identify the culprit in the formal ID procedure.


The dataset includes demographics, response type and accuracy, and confidence ratings data for each of the participant conditions.

Funding

Citizen Forensics

Engineering and Physical Sciences Research Council

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SAUSE: Secure, Adaptive, Usable Software Engineering

Engineering and Physical Sciences Research Council

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SFI 13/RC/2094

SFI 16/SP/3804

History

Research Group

  • Centre for Policing Research and Learning (CPRL)