One century of information diffusion in the Netherlands derived from a massive digital archive of historical newspapers: the DIGGER dataset

Previous 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 be...

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Autores principales:	Antoine Peris, Willem Jan Faber, Evert Meijers, Maarten van Ham
Formato:	article
Lenguaje:	DE EN FR IT PT
Publicado:	Unité Mixte de Recherche 8504 Géographie-cités 2020
Materias:	system of cities flows diffusion history database Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/d670650d9d9b46e799ba35ffb293f8d5
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id	oai:doaj.org-article:d670650d9d9b46e799ba35ffb293f8d5
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spelling	oai:doaj.org-article:d670650d9d9b46e799ba35ffb293f8d52021-12-02T11:16:55ZOne century of information diffusion in the Netherlands derived from a massive digital archive of historical newspapers: the DIGGER dataset1278-336610.4000/cybergeo.33747https://doaj.org/article/d670650d9d9b46e799ba35ffb293f8d52020-01-01T00:00:00Zhttp://journals.openedition.org/cybergeo/33747https://doaj.org/toc/1278-3366Previous 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.Antoine PerisWillem Jan FaberEvert MeijersMaarten van HamUnité Mixte de Recherche 8504 Géographie-citésarticlesystem of citiesflowsdiffusionhistorydatabaseGeography (General)G1-922DEENFRITPTCybergeo (2020)
institution	DOAJ
collection	DOAJ
language	DE EN FR IT PT
topic	system of cities flows diffusion history database Geography (General) G1-922
spellingShingle	system of cities flows diffusion history database Geography (General) G1-922 Antoine Peris Willem Jan Faber Evert Meijers Maarten van Ham One century of information diffusion in the Netherlands derived from a massive digital archive of historical newspapers: the DIGGER dataset
description	Previous 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.
format	article
author	Antoine Peris Willem Jan Faber Evert Meijers Maarten van Ham
author_facet	Antoine Peris Willem Jan Faber Evert Meijers Maarten van Ham
author_sort	Antoine Peris
title	One century of information diffusion in the Netherlands derived from a massive digital archive of historical newspapers: the DIGGER dataset
title_short	One century of information diffusion in the Netherlands derived from a massive digital archive of historical newspapers: the DIGGER dataset
title_full	One century of information diffusion in the Netherlands derived from a massive digital archive of historical newspapers: the DIGGER dataset
title_fullStr	One century of information diffusion in the Netherlands derived from a massive digital archive of historical newspapers: the DIGGER dataset
title_full_unstemmed	One century of information diffusion in the Netherlands derived from a massive digital archive of historical newspapers: the DIGGER dataset
title_sort	one century of information diffusion in the netherlands derived from a massive digital archive of historical newspapers: the digger dataset
publisher	Unité Mixte de Recherche 8504 Géographie-cités
publishDate	2020
url	https://doaj.org/article/d670650d9d9b46e799ba35ffb293f8d5
work_keys_str_mv	AT antoineperis onecenturyofinformationdiffusioninthenetherlandsderivedfromamassivedigitalarchiveofhistoricalnewspapersthediggerdataset AT willemjanfaber onecenturyofinformationdiffusioninthenetherlandsderivedfromamassivedigitalarchiveofhistoricalnewspapersthediggerdataset AT evertmeijers onecenturyofinformationdiffusioninthenetherlandsderivedfromamassivedigitalarchiveofhistoricalnewspapersthediggerdataset AT maartenvanham onecenturyofinformationdiffusioninthenetherlandsderivedfromamassivedigitalarchiveofhistoricalnewspapersthediggerdataset
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One century of information diffusion in the Netherlands derived from a massive digital archive of historical newspapers: the DIGGER dataset

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