Analysis of References Across Wikipedia Languages

Włodzimierz Lewoniewski , Krzysztof Węcel , Witold Abramowicz

Abstract

Reliable information sources are important to assess content quality in Wikipedia. Using references readers can verify facts or find more details about described topic. Each Wikipedia article can have over 290 language versions. As articles can be edited independently in any language, even by anonymous users, the information about the same topic may be inconsistent. This also applies to sources that can be found in various language versions of particular article, so the same statement can have different sources. In some cases, Wikipedia users, which speak two or more languages, can transfer information with references between language versions. This paper presents an analysis of using common references in over 10 million articles in several Wikipedia language editions: English, German, French, Russian, Polish, Ukrainian, Belarussian. Also, the study shows the use of similar sources and their number in language sensitive topics.
Author Włodzimierz Lewoniewski (WIiGE / KIE)
Włodzimierz Lewoniewski,,
- Department of Information Systems
, Krzysztof Węcel (WIiGE / KIE)
Krzysztof Węcel,,
- Department of Information Systems
, Witold Abramowicz (WIiGE / KIE)
Witold Abramowicz,,
- Department of Information Systems
Pages561-573
Publication size in sheets0.6
Book Damaševičius Robertas, Mikašytė Vilma (eds.): Information and Software Technologies, Communications in Computer and Information Science, vol. 756, 2017, Springer, ISBN 978-3-319-67641-8, [978-3-319-67642-5], 624 p., DOI:10.1007/978-3-319-67642-5
Keywords in Englishwikipedia, reference, source, citation
ASJC Classification2600 General Mathematics; 1700 General Computer Science
DOIDOI:10.1007/978-3-319-67642-5_47
URL https://link.springer.com/chapter/10.1007/978-3-319-67642-5_47
Languageen angielski
Score (nominal)20
Score sourcepublisherList
ScoreMinisterial score = 20.0, 24-03-2020, ChapterFromConference
Publication indicators WoS Citations = 2; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 0.354
Citation count*17 (2020-08-09)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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