File:Detecting Wikipedia articles strongly based on single library collections - Olaf Janssen, KB, 21 May 2020.pdf
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Summary
[edit]DescriptionDetecting Wikipedia articles strongly based on single library collections - Olaf Janssen, KB, 21 May 2020.pdf |
English: In this article I will illustrate an approach to detect Wikipedia articles whose contents are fully or largely based on content from a single online source, such as a full-text digitized newspaper archive or a digital text library. Using Dutch Wikipedia I'll track down 247 articles that owe their existence to Delpher and DBNL, two full-text collections operated by the KB, the national library of the Netherlands.
This approach might be relevant for GLAMs that have digital text collections used by the Wikipedia community for writing articles. This article is also available at Zenodo and Github |
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Source | Own work | |||||||||||||||||||||||
Author |
OlafJanssen
creator QS:P170,Q66439268 |
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Other versions | https://zenodo.org/record/7433549 and https://github.com/KBNLwikimedia/KB-Wiki-Stats-Graphs/blob/master/stories/Detecting%20Wikipedia%20articles%20strongly%20based%20on%20single%20library%20collections.md |
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 16:10, 13 December 2022 | 1,275 × 1,650, 9 pages (2.63 MB) | OlafJanssen (talk | contribs) | Uploaded own work with UploadWizard |
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Date and time of digitizing | 15:32, 13 December 2022 |
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File change date and time | 17:48, 13 December 2022 |
Date metadata was last modified | 17:48, 13 December 2022 |
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