A research paper on the automatic identification of reliable sources of information about companies in multilingual Wikipedia has been published on the IEEE website. The information source assessment models presented in the research work can help Internet users find valuable sources of information about companies using open data from Wikipedia, Wikidata and DBpedia.
During the fifth edition of the international conference ICOFEP, the results of scientific research related to the identification of important sources of information on COVID-19 pandemic in multilingual Wikipedia through different month were presented.
During the 10th National Scientific Conference of Professor Zbigniew Czerwiński “Mathematics and informatics serving economics” was presented a paper on the automatic identification of reliable sources of information on various topics in the multilingual Wikipedia.
Wikipedia does not have to be truthful, but it is important that the information must be confirmed by reliable sources. The last issue of the Wikimedia Research Showcase in outgoing 2020 was devoted to the problem of disinformation and the reliability of Wikipedia sources.
During the Wikimedia Research Showcase the results of scientific works conducted by members of the Department of Information Systems in the area of information quality assessment in multilingual Wikipedia were presented. In particular, the models of automatic evaluation of the reliability of sources in this popular encyclopedia were discussed.
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 ...