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dc.contributor.authorPeris, Antoine
dc.contributor.authorFaber, Willem Jan
dc.contributor.authorMeijers, Evert
dc.contributor.authorvan Ham, Maarten
dc.date.accessioned2020-01-14T16:30:03Z
dc.date.available2020-01-14T16:30:03Z
dc.date.issued2020-01-14
dc.identifier.citationPeris , A , Faber , W J , Meijers , E & van Ham , M 2020 , ' One century of information diffusion in the Netherlands derived from a massive digital archive of historical newspapers : the DIGGER dataset ' , Cybergeo .en
dc.identifier.issn1278-3366
dc.identifier.otherPURE: 265503500
dc.identifier.otherPURE UUID: 4c229000-7e65-4b7d-b730-8cc7ae1de7cc
dc.identifier.otherORCID: /0000-0002-2106-0702/work/67525826
dc.identifier.urihttp://hdl.handle.net/10023/19279
dc.descriptionThis work was funded through a VIDI grant (452-14-004) provided by the Netherlands Organisation for Scientific Research (NWO), and through the researcher-in-residence program of the Koninklijke Bibliotheek, the national library of the Netherlands.en
dc.description.abstractPrevious studies have highlighted the importance of having long term data for the study of cities, but such sources are relatively scarce. This is especially the case for data about relations between cities, which is a crucial aspect of urban dynamics. Over the last two decades, many efforts have been made to digitalize texts, including books and newspapers, which are primary sources on most of our societies. Researchers have shown that these massive digital archives can be used to identify macroscopic trends related to historical and cultural changes. The wealth of geographic information in such digital archives has not been used much, while they are very valuable for the study of cities. In this paper, we present DIGGER, a newly developed dataset that we built on Delpher, the digital archive of historical newspapers of the National Library of the Netherlands, by extracting geographical information from a selection of 102 million of news items. This dataset allowed us to study the spatial diffusion of information on and between the Dutch cities from a corpus of 81 newspapers published in 29 different cities between 1869 and 1994. This paper presents the method developed to build the dataset as well as the validation steps for the accuracy of the place name recognition. This dataset can be used to study the evolution of the Dutch urban system as well as aspects related to the spatial diffusion of information and geographical bias in media coverage.
dc.language.isoeng
dc.relation.ispartofCybergeoen
dc.rightsCopyright © 2019 The Author(s). This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.en
dc.subjectSystem of citiesen
dc.subjectFlowsen
dc.subjectDiffusionen
dc.subjectHistoryen
dc.subjectDatabaseen
dc.subjectText miningen
dc.subjectGeocodingen
dc.subjectG Geography (General)en
dc.subjectDASen
dc.subject.lccG1en
dc.titleOne century of information diffusion in the Netherlands derived from a massive digital archive of historical newspapers : the DIGGER dataseten
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Geography & Sustainable Developmenten
dc.description.statusPeer revieweden
dc.date.embargoedUntil2020-01-14
dc.identifier.urlhttps://journals.openedition.org/cybergeo/33747en


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