Department of Information Systems at ACL 2025

Employees of the Department of Information Systems took part in ACL 2025 (the 63rd Annual Meeting of the Association for Computational Linguistics), a top-tier conference on artificial intelligence, held in Vienna in the last week of July 2025. Researchers presented results published in the ACL Anthology, prepared as part of a shared task on the detection and classification of persuasion techniques in Slavic languages.

Utilizing Citation Index and Synthetic Quality Measure to Compare Language Editions of Wikipedia

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.

First place in the 29th PUEB Foundation competition for the best bachelor’s and engineering thesis

In the 29th edition of the UEP Foundation’s competition for the best bachelor’s and engineering thesis defended at the Poznań University of Economics and Business in the 2023/2024 academic year, the thesis titled “Detecting Human Faces Generated by Artificial Intelligence Models” won first place. The author of the thesis: Patryk Danielewicz, the supervisor: Prof. Krzysztof Węcel.

AI Transformations: Artificial Intelligence in Detecting Fake News

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

Scientific seminar by Ewelina Księżniak on content authorship verification in the context of fake news dissemination

At the Poznań University of Economics and Business, an open scientific seminar organized by the Institute of Informatics and Quantitative Economics took place, entitled “Issues in Content Authorship Verification in the Context of Fake News Dissemination”. During the seminar, Ewelina Księżniak discussed topics related to stylometric methods for lie detection, encoding stylometric features using Transformer models, author profiling, and individuals’ susceptibility to fake news.

Supporting fact-checking process with IT tools

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.

Presentations at the IwZ’2024 conference

Employees of the Department of Information Systems, Dr. Milena Stróżyna and Prof. Krzysztof Węcel, took part in the 10th Anniversary Scientific Conference on Business Informatics IwZ’2024. The conference topic was “Operational and strategic consequences and management forecasts of the digitalization of business processes”.

Exploring the Challenges and Potential of Generative AI

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.

Semantic mapping of disinformation: identifying fake news topics

The scientific article of our Department’s employees entitled “Sentence Embeddings and Semantic Entity Extraction for Identification of Topics of Short Fact-Checked Claims” has been published in open access. The paper describes an approach to assigning topics to claims verified by fact-checking agencies.