Drunk and disorderly data: applying natural language processing to identify alcohol-related crimes in police data.
Alcohol plays a significant role in crime, and whilst police data may contain a measure of alcohol-related crime, it is not entirely accurate. This study presents a new measure of alcohol-related crime in police data. A natural language processing algorithm was applied to crime descriptions in polic...
| Publicado en: | Police Practice & Research Vol. 26; no. 6; pp. 696 - 726 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Taylor & Francis Ltd
Oct2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=188232692&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 188232692 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 15614263 J5F jtl: Police Practice & Research issn: 15614263 maglogo: N pubinfo: dt: Oct2025 vid: 26 iid: 6 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 188232692 10.1080/15614263.2025.2508275 ppf: 696 ppct: 30 formats: tig: atl: Drunk and disorderly data: applying natural language processing to identify alcohol-related crimes in police data. aug: au: Horsefield, Olivia Lightowlers, Carly Green, Mark affil: Geographic Data Science Lab, University of Liverpool, Liverpool, UK Sociology Social Policy and Criminology, University of Liverpool, Liverpool, UK Geography and Planning, University of Liverpool, Liverpool, UK su: Crime statistics Crime analysis Drinking & traffic accidents Police Natural language processing Algorithms Police reports sug: subj: Crime statistics Crime analysis Drinking & traffic accidents Police Police Protection Federal police services Provincial police services Municipal police services Natural language processing Algorithms Police reports keyword: Alcohol-related crime deprivation natural language processing police data support vector machine Alcohol-related crime deprivation natural language processing police data support vector machine ab: Alcohol plays a significant role in crime, and whilst police data may contain a measure of alcohol-related crime, it is not entirely accurate. This study presents a new measure of alcohol-related crime in police data. A natural language processing algorithm was applied to crime descriptions in police data, to identify crimes as alcohol-related or not. This algorithm estimated that a higher proportion of crime is linked to alcohol than current police estimates suggest, across crime type and over time. It also estimated there to be twice as many alcohol-related crimes than the police measure in the most deprived areas. However, the proportion of alcohol-related crime was estimated to be just as high in lesser deprived areas as it was in the most deprived areas, unobserved by current police estimates. This study illustrates the potential for algorithms to improve estimates and progress policing practice and decision-making around alcohol-related crime to reduce its burden. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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