Department of Information Systems
Poznań University of Economics and Business
At the KES 2025 international scientific conference, papers authored by our researchers were presented, reporting the results of research on the evolution of scientific trends in blockchain technology and on the quality and distribution of data visualizations in the Polish Wikipedia.
During Researchers’ Night 2025, the staff of the Department of Information Systems conducted workshops titled “Operation InfoVerification” that were presented in the engaging form of a field game. The event introduced participants to the process of verifying information and identifying fake news. The workshops combined elements of adventure, investigation, and logic-based challenges, immersing participants in the fascinating world of fact-checking.
The paper on automatic analysis of Wikipedia content neutrality, authored by our researchers, was presented at IJCAI 2025 (the 34th International Joint Conference on Artificial Intelligence). The event took place on 16-22 August 2025 in Montreal, Canada.
During the Wikimania 2025 conference, the results of scientific research on the comparative analysis of Wikipedia articles on climate change in different language editions were presented. By leveraging open datasets, the study assessed the quality of articles and compared their popularity in various languages. For example, an analysis of over one billion internal links (wikilinks) on Wikipedia enabled the identification of the most frequently cited articles in each language edition.
A new paper by our researchers has been published on the Springer website. It explores the sentiment of Wikipedia articles about companies using a range of artificial-intelligence models. The study set out to determine how well each model copes with assessing the sentiment of Wikipedia’s characteristically long articles, and to examine how that sentiment varies across industries and article-quality classes.
A research prepared by scientists from our Department was presented at Wiki Workshop 2025. The study delivers a comprehensive, topic-based analysis of Wikipedia articles across 55 language editions and employs an original approach that combines a citation index with a synthetic article-quality measure. A citation index was constructed by analysing 6.6 billion links between Wikipedia pages, enabling the identification of the most influential articles in each language edition.
The PUEB Open Day 2025 took place on March 23 in the main building of our university. During the event, prospective students had the opportunity to talk to current students and faculty members about the study programs 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, Izabela Czumałowska.
The fourth seminar on artificial intelligence and digital transformation was devoted to the issue of automatic detection of fake news. On February 24, 2025, during the meeting, a research team from the Department of Information Systems presented the results of the OpenFact project, developed at the Poznań University of Economics and Business (PUEB). The aim of the project is to create innovative solutions using artificial intelligence (AI) to identify potentially … Read More
A research paper entitled “Supporting fact-checking process with IT tools” has been published under open access. The study presents a detailed analysis of the fact-checking process, based on a literature review and interviews with organizations specializing in this field. This combined theoretical knowledge with practical experiences of experts, which allowed to identify research gaps and challenges in current information verification methods.
A scientific article titled “Exploring the Challenges and Potential of Generative AI: Insights from an Empirical Study” has been published under open access. As part of this work, an experiment was conducted to examine to what extent content generated by GenAI can be considered reliable (i.e., free of false information) and how easily GenAI can be manipulated into producing misinformation.