Does the crown court discriminate against muslim-named offenders?: a novel investigation based on text mining techniques
Most research in sentencing discrimination in the United Kingdom has relied on aggregate analyses comparing disparities by ethnic group. These studies fail to consider differences in the individual characteristics of the cases processed. To circumvent the lack of official data, we scraped sentence r...
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| Contributors: | ; |
| Format: | Electronic Article |
| Language: | English |
| Published: |
2019
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| In: |
The British journal of criminology
Year: 2019, Volume: 59, Issue: 3, Pages: 718-736 |
| Online Access: |
Presumably Free Access Volltext (Verlag) |
| Journals Online & Print: | Drawer...
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| Check availability: | HBZ Gateway |
| Keywords: |
MARC
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| 520 | |a Most research in sentencing discrimination in the United Kingdom has relied on aggregate analyses comparing disparities by ethnic group. These studies fail to consider differences in the individual characteristics of the cases processed. To circumvent the lack of official data, we scraped sentence records stored in a commercial website, from which a sample of 8,437 offenders sentenced to custody in the Crown Court from 2007 to 2017 was generated. Using the names of the offenders, we have been able to classify 8.6 per cent of our sample as having a traditional Muslim name. We find that Muslim-named offenders received sentences 9.8 per cent longer than the rest of the sample. However, this difference disappeared once we accounted for the type of offence and other key case characteristics. | ||
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