The rhetoric of de-policing: Evaluating open-ended survey responses from police officers with machine learning-based structural topic modeling

Scott M. Mourtgos and Ian T. Adams

Journal of Criminal Justice, 2019, vol. 64, issue C, -

Abstract: •Machine learning-based textual analysis is a viable tool for police survey research•Analyzing large numbers of police free-text responses provides more nuanced understanding of police perceptions of the public•Officers' attention to professionalism guards against de-policing, while attention to perceived unfair criticism increases it•The public's integrity has a stronger effect on propensity to de-police than the public's knowledge about police work

Date: 2019
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jcjust:v:64:y:2019:i:c:1

DOI: 10.1016/j.jcrimjus.2019.101627

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