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Anti-social behaviour in the coronavirus pandemic

Author

Listed:
  • Halford, Eric
  • Dixon, Anthony
  • Farrell, Graham

    (University of Leeds)

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.

Suggested Citation

  • Halford, Eric & Dixon, Anthony & Farrell, Graham, 2022. "Anti-social behaviour in the coronavirus pandemic," SocArXiv rt2y4, Center for Open Science.
  • Handle: RePEc:osf:socarx:rt2y4
    DOI: 10.31219/osf.io/rt2y4
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    References listed on IDEAS

    as
    1. Abrams, David S., 2021. "COVID and crime: An early empirical look," Journal of Public Economics, Elsevier, vol. 194(C).
    2. Gian Maria Campedelli & Serena Favarin & Alberto Aziani & Alex R. Piquero, 2020. "Disentangling Community-level Changes in Crime Trends During the COVID-19 Pandemic in Chicago," Papers 2011.05658, arXiv.org.
    3. Amy E. Nivette & Renee Zahnow & Raul Aguilar & Andri Ahven & Shai Amram & Barak Ariel & María José Arosemena Burbano & Roberta Astolfi & Dirk Baier & Hyung-Min Bark & Joris E. H. Beijers & Marcelo Ber, 2021. "A global analysis of the impact of COVID-19 stay-at-home restrictions on crime," Nature Human Behaviour, Nature, vol. 5(7), pages 868-877, July.
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