Session Submission Summary

Video Data Analysis for Policing Research: Innovations and Next Steps

Wed, Nov 12, 9:30 to 10:50am, Marquis Salon 1 - M2

Session Submission Type: Complete Thematic Panel

Abstract/Description

Objectives:
The rise of video cameras enables researchers to analyze human behavior in ways previously impossible. In policing, body-worn cameras provide detailed recordings of officer-citizen interactions. Video data analysis (VDA) offers a systematic approach to studying these behaviors by leveraging large collections of video data.

Data/Methods:
Four studies demonstrate VDA’s use in systematic social observations of policing. Each paper uses VDA to explore an under-researched aspect of police-citizen interactions or advances a novel method to improve the rigor of VDA.

Results:
The first study examines how priming influences police decision-making and measures both its frequency and effects during officer-citizen interactions. The second study investigates the impact of ad-hoc co-responses between police and emergency medical technicians (EMTs) on citizen interaction outcomes. The third study addresses the issue of sampling in VDA social science research and develops a decision-tree method to identify effective sampling strategies. The fourth study compares the accuracy and interpreted meaning of video transcriptions created by humans and artificial intelligence.

Conclusions/Implications:
VDA contributes significantly to policing research. These studies showcase how novel application of this methodology could help take advantage of, and navigate challenges associated with, the “big-data” generated by video recording devices.

Sub Unit

Individual Presentations

Chair

Organized by a Division or external group?

Division of Policing