Are Searches in OCR-generated Archives Trustworthy?: An Analysis of Digital Newspaper Archives
Jørgen Burchardt
Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook, 2023, vol. 64, issue 1, 31-54
Abstract:
Digitised archives are revolutionary tools for research that, in a few seconds, generate results that earlier often took years to obtain. But do they provide all results for the terms searched for? The accuracy of searches was tested by performing sample searches of leading newspaper databases. The test revealed several weaknesses in the search process, including an average 18 percent error rate for single words in body text, and a far higher error rates for advertisements. Such high error rates encourage a critical look at the 20-year-old sector. Although these errors can be reduced by a re-digitation and with new improved OCR engines and new search algorithms, searches will nevertheless return manipulated results. In response, and to identify infringed bias and skewed representation, database owners need to provide thorough metadata to ensure source criticism.
Keywords: optical character recognition; historical archive; source criticism; research methodology; Historische Archive; Quellenkritik; Forschungsmethodik; OCR (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:jbwige:v:64:y:2023:i:1:p:31-54:n:9
DOI: 10.1515/jbwg-2023-0003
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