Department of Information Systems
Poznań University of Economics and Business
A team of scientists from the Department of Information Systems at the Poznań University of Economics and Business took part in the “CheckThat! 2024” organized as part of the international conference CLEF (Conference and Labs of the Evaluation Forum). The goal was to verify the robustness of popular text classification approaches used for credibility assessment problems.
The National Center for Research and Development has completed the evaluation of the results of the second phase of the INFOSTRATEG program. The evaluation included the results achieved by three competing teams whose task is to develop solutions for detecting fake news using artificial intelligence.
As part of the 27th Poznań Festival of Science and Art, workshops on fake news detection were held. During the event, participants had the opportunity to learn how to distinguish fake news from real information and what tools they can use to verify content on social media.
The PUEB Open Doors 2024 took place in the Main Building of our University. During this event, candidates had the opportunity to talk to current students and lecturers about the courses offered at the Poznań University of Economics and Business. The Institute of Informatics and Quantitative Economics was represented by various departments, including members of our team: Dr. Włodzimierz Lewoniewski, Oskar Riewe-Perła, Aleksandra Wojewoda.
The latest issue of the journal “Biblioteka” published an article on the analysis of citations to scientific works in Wikipedia. The analysis covered 332 million references in 61 million Wikipedia articles in 309 language versions. In order to standardize the metadata of important sources of information on multilingual Wikipedia, data from the OpenAlex, an open catalog of authors and scientific publications, were additionally used. The results of scientific research were … Read More
An open scientific seminar of the Institute of Informatics and Quantitative Economics on automatic quality assessment of articles in multilingual Wikipedia and identification of important sources of its information on various topics was held at the Poznań University of Economics and Business. During the seminar, Dr. Włodzimierz Lewoniewski discussed the methods and tools used to analyze and evaluate content in a popular multilingual encyclopedia and ways of identifying and assessing … Read More
Scientific article entitled “Quantifying Americanization: Coverage of American Topics in Different Wikipedias” was published in the Social Science Computer Review journal. The work is the first global, quantitative confirmation of issues often raised or assumed in the literature on Americanization and related phenomena.
The latest issue of the ACADEMIA magazine published an article on the automation of the content quality assessment process in multilingual Wikipedia. The work briefly presents the advantages and disadvantages of the open nature of this encyclopedia, differences in the quality assessment systems and distinctions for Wikipedia articles between language versions, and issues related to the assessment of the reliability of information sources.
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 – … Read More
Wikipedia, being a widely available source of information in the digital era, attaches great importance to the verifiability of its content, which is fundamental to its credibility and trust. The platform’s verifiability rules require that all information, especially controversial or controversial information, be supported by credible, published sources. This ensures that the content in Wikipedia articles is not based on personal opinion or original research. However, the subjective nature of … Read More