The Polish Wikipedia community enthusiastically celebrated the website’s 22nd anniversary by taking on an extraordinary challenge – breaking the Guinness World Record for the longest joint editing of Wikipedia. The ambitious goal was achieved on September 26-30, 2023 – uninterrupted Wikipedia editing for 100 hours. The event was organized by the Wikimedia Polska and aimed not only to set a new record, but also to promote Polish Heritage.
Tag: Wikipedia
Colloquium at Tufts University
The beginning of the academic year in the United States coincided with a speech by Dr. Włodzimierz Lewoniewski at Tufts University. The colloquium discussed issues related to the use of artificial intelligence and large open data sets to automate the process of assessing the quality of Wikipedia articles and its information sources in various language versions.
Speech at the KES 2023 conference
During the international conference KES 2023 (27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems), research results on the use of scientific information sources in multilingual Wikipedia on various topics were presented. This year’s edition of the KES conference was organized in Athens (Greece) on September 6-8 in a hybrid mode.
Companies in Multilingual Wikipedia: Articles Quality and Important Sources of Information
The scientific work of members of our Department was published in the monograph “Information Technology for Management: Approaches to Improving Business and Society” published by the Springer. The research concerns the automatic assessment of the quality of Wikipedia articles and the reliability of sources of information about companies in different languages.
Presentation at Wiki Workshop 2023
On May 11, the tenth edition of the scientific forum for people studying various aspects of Wikipedia and other Wikimedia projects – Wiki Workshop 2023 took place. As part of this event, the results of scientific research in the area of analysis of global interest in American topics in the multilingual Wikipedia were presented.
Lectures and workshops during the ENIGMA Metropolitan Science Festival
Members of the Department of Information Systems conducted lectures and workshops during the five editions of the ENIGMA Metropolitan Science Festival. Over 1,000 students from various schools in Poznań and Szamotuły took part in the events. The materials presented during the Festival included issues related to the scientific research of our Department in the field of automatic identification of fake news on the Internet, assessment of the quality of information … Read More
Presentation at the conference “Bibliometric analyses of Open Science”
Important sources of information in different topics and language versions of Wikipedia
The scientific paper on automatic identification of important information sources on a specific topic in the multilingual Wikipedia based on analysis of more than 230 million references has been published on the Elsevier website. The study presents various models for automatic evaluation of information sources, which take into account the frequency of the information sources, the popularity of the content from readers and Wikipedia editors point of view.
Identifying Reliable Sources of Information about Companies in Multilingual Wikipedia
The IEEE published a paper on the automatic identification of reliable sources of information about companies in the multilingual Wikipedia. The information source assessment models presented in the publication can help Internet users find valuable sources of information about companies using open data from Wikipedia, DBpedia and Wikidata.
Speech at the KES 2022 conference
During the international conference KES 2022 (26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems) the results of scientific research on the identification of important information sources in various topics and language versions of Wikipedia were presented. This year’s edition of the KES conference was organized in Verona (Italy) in a hybrid mode.