Modeling Popularity and Reliability of Sources in Multilingual Wikipedia

By Włodzimierz Lewoniewski, Krzysztof Węcel, W. Abramowicz. 2020

22 citations recorded by the source corpus.

One of the most important factors impacting quality of content in Wikipedia is presence of reliable sources. By following references, readers can verify facts or find more details about described topic. A Wikipedia article can be edited independently in any of over 300 languages, even by anonymous users, therefore information about the same topic may be inconsistent. This also applies to use of references in different language versions of a particular article, so the same statement can have different sources. In this paper we analyzed over 40 million articles from the 55 most developed language versions of Wikipedia to extract information about over 200 million references and find the most popular and reliable sources. We presented 10 models for the assessment of the popularity and reliability of the sources based on analysis of meta information about the references in Wikipedia articles, page views and authors of the articles. Using DBpedia and Wikidata we automatically identified the alignment of the sources to a specific domain. Additionally, we analyzed the changes of popularity and reliability in time and identified growth leaders in each of the considered months. The results can be used for quality improvements of the content in different languages versions of Wikipedia.

Subfields: Artificial Intelligence, Communication, Molecular Biology, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Sebastian Riedel
  2. Hinrich Schütze
  3. Luke S. Zettlemoyer
  4. Patrick Lewis
  5. Timo Schick
  6. Fabio Petroni
  7. Hannaneh Hajishirzi
  8. Edouard Grave

In Communication

  1. Patrick Lewis
  2. Armand Joulin
  3. Lucie-Aimée Kaffee
  4. Edouard Grave
  5. Fabio Petroni
  6. Pierre-Emmanuel Mazaré
  7. Katrin Weller
  8. Sebastian Riedel

In Molecular Biology

  1. Patrick Lewis
  2. Fabian Flöck
  3. Roberto Ulloa
  4. Armand Joulin
  5. Samuel Broscheit
  6. Edouard Grave
  7. Katrin Weller
  8. Sebastian Riedel

In Natural Language Processing

  1. Sebastian Riedel
  2. Patrick Lewis
  3. Fabio Petroni
  4. Timo Schick
  5. Edouard Grave
  6. Jason Aaron Edward Weston
  7. Gautier Izacard
  8. Armand Joulin

Citations in the corpus