Department of Information Systems
Poznań University of Economics and Business
During the 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024), Dr. Włodzimierz Lewoniewski presented a paper entitled “Exploring the Challenges and Potential of Generative AI: Insights from an Empirical Study” and a paper entitled “Supporting fact-checking process with IT tools”. The conference was held on September 11-13, 2024 in hybrid mode.
On September 9-12, 2024, scientists from the Department of Information Systems presented their works at the CLEF 2024 conference, which took place in Grenoble (France). This was the 25th edition of the CLEF (Conference and Labs of the Evaluation Forum), a key event in the field of information and language technologies, focusing on the evaluation of information systems. Thanks to a variety of test tasks, participants can compare and improve … Read More
An article by our scientists entitled “Combining Recommender Systems and Language Models in Early Detection of Signs of Anorexia” has been published in open access. The work describes the approach that obtained the best result according to the ERDE metric in the international competition for early risk prediction on the Internet – eRisk 2024. Authors of the work: Oskar Riewe-Perła and Prof. Agata Filipowska.
In 2024, scientists from the Department of Information Systems participated for the second time in the CheckThat! competition, part of the international CLEF conference, focused on identifying check-worthy texts. Leveraging transformer-based language models and cross-linguistic transfer learning techniques, the team secured two second-place rankings for English and Arabic submissions.
An article by our scientists entitled “OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation” has been published in open access. The paper describes the approach that won first place in an international competition in the area of information credibility.
Scientists from the Department of Information Systems took part in an international competition for the analysis of multi-author writing style – PAN 2024. PAN is a series of scientific events related to stylometric analysis and forensic linguistics, organized during the CLEF 2024 conference. The competition task was to detect places where the author changes in a text written by several authors.
During the international conference Wikimania 2024, a panel discussion entitled “Keynote: Opening the Academia” took place, in which Dr. Włodzimierz Lewoniewski participated. The panel concerned the topic of open science and its various aspects. In particular, the challenges faced by academic institutions that try to implement the principles of open science and the obstacles that hinder these processes were discussed. The role of Wikimedia projects, such as Wikipedia, in the … Read More
The work of our scientists on the analysis of digital currency exchanges has been published on the Springer website. As part of the research, models for predicting the success and bankruptcy of cryptocurrency exchanges were developed, based on financial data and information collected from open Internet sources such as Wikipedia and Wikidata. The aim of the work was to identify key aspects that can support the risk analysis process and … Read More
During the Wikimania 2024 conference, the results of scientific research on measuring Americanization in various regions of the world based on open data from Wikipedia and Wikidata were presented. The conducted research reveals differences in interest in American topics depending on the level of development of countries, offering a new perspective on global cultural dominance. At the same time, the analysis emphasizes the role of Wikipedia and Wikidata as tools … Read More
Employees of the Department of Information Systems at the Poznań University of Economics and Business, Prof. Agata Filipowska and Oskar Riewe-Perła, took part in the eRisk 2024 competition. The aim of the competition was to develop a system for early recognition of people with anorexia based on their activity on social media platforms.