Historical Models and Serial Sources

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License: CC BY 4.0
Serval ID
serval:BIB_9947DF4A7067
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Historical Models and Serial Sources
Journal
Journal of European Periodical Studies
Author(s)
Piotrowski Michael
ISSN
2506-6587
Publication state
Published
Issued date
30/06/2019
Peer-reviewed
Oui
Volume
4
Number
1
Pages
8-18
Language
english
Abstract
Serial sources such as records, registers, and inventories are the ‘classic’ sources for quantitative history. Unstructured, narrative texts such as newspaper articles or reports were out of reach for historical analyses, both for practical reasons—availability, time needed for manual processing—and for methodological reasons: manual coding of texts is notoriously difficult and hampered by low inter-coder reliability. The recent availability of large amounts of digitized sources allows for the application of natural language processing, which has the potential to overcome these problems. However, the automatic evaluation of large amounts of texts—and historical texts in particular—for historical research also brings new challenges. First of all, it requires a source criticism that goes beyond the individual source and also considers the corpus as a whole. It is a well-known problem in corpus linguistics to determine the ‘balancedness’ of a corpus, but when analyzing the content of texts rather than ‘just’ the language, determining the ‘meaningfulness’ of a corpus is even more important. Second, automatic analyses require operationalizable descriptions of the information you are looking for. Third, automatically produced results require interpretation, in particular, when—as in history—the ultimate research question is qualitative, not quantitative. This, finally, poses the question, whether the insights gained could inform formal, i.e., machine-processable, models, which could serve as foundation and stepping stones for further research.
Open Access
Yes
Create date
15/09/2019 17:30
Last modification date
16/09/2019 6:08
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