Anti-social behaviour in the coronavirus pandemic

Eric Halford, Anthony Dixon and Graham Farrell
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Graham Farrell: University of Leeds

No rt2y4, SocArXiv from Center for Open Science

Abstract: Anti-social behaviour recorded by police more than doubled early in the coronavirus pandemic in England and Wales. This was a stark contrast to the steep falls in most types of recorded crime. Why was ASB so different? Was it changes in ‘traditional’ ASB such as noisy neighbours, or was it ASB records of breaches of COVID-19 regulations? Further, why did police-recorded ASB find much larger increases early in the pandemic than the Telephone Crime Survey for England and Wales? This study uses two approaches to address the issues. The first is a survey of police forces, via Freedom of Information requests, to determine whether covid-regulation breaches were recorded as ASB. The second is natural language processing (NLP) used to interrogate the text details of police ASB records. We find police recording practice varied greatly between areas. We conclude that the early-pandemic increases in recorded ASB were primarily due to breaches of covid regulations with around half of these also involving traditional forms of ASB. We also suggest that the study offers proof of concept that NLP may have significant potential to inform policing and crime policy globally.

Date: 2022-06-01
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:rt2y4

DOI: 10.31219/osf.io/rt2y4

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