Scientific sources of information in Wikipedia articles across various topics and languages

The results of scientific research of employees of our Department were published in the journal “Procedia Computer Science” by Elsevier on the ScienceDirect website. As part of the work, hundreds of millions of references in Wikipedia articles from various language versions were analyzed to identify scientific sources of information. Additionally, Wikipedia articles have been divided into various topics using information from Wikipedia projects and based on semantic knowledge bases – Wikidata and DBpedia.

Wikipedia articles must be based on reliable sources that readers can verify. However, the assessment of the reliability of sources is subjective and may vary depending on the language version and the topic of the articles in this encyclopedia. Some references in Wikipedia articles point to scholarly sources that are generally considered more reliable than websites because they are subject to a rigorous peer-review process and are published by reputable academic publishers. This means that the information presented in scientific sources has been thoroughly evaluated by experts in the field, ensuring a higher degree of validity and credibility.

Work entitled “Understanding the Use of Scientific References in Multilingual Wikipedia across Various Topics” focuses on a comparative analysis of the use of scientific information sources in Wikipedia articles depending on the topic and language version. Authors of the publication: Włodzimierz Lewoniewski, Krzysztof Węcel, Witold Abramowicz. The results of scientific research were presented during the KES 2023 conference.

This research is supported by the project “OpenFact – artificial intelligence tools for verification of the veracity of information sources and fake news detection” (INFOSTRATEG-I/0035/2021-00), granted within the INFOSTRATEG I program of the National Center for Research and Development, under the topic: Verifying information sources and detecting fake news.