Department of Information Systems
Poznań University of Economics and Business
Members of our department, Ewelina Księżniak and Marcin Sawiński, took part in the 14th edition of the international CLEF conference, which is devoted to natural language processing and information retrieval. During this event, our scientists presented a method for detecting check-worthy claims, which achieved the best result in a competition organized by one of the workshops – CheckThat!Lab. The workshop and competition is devoted to detecting fake news using artificial … Read More
During the 10th International Scientific Conference “Knowledge and Information Technologies in Creating Entrepreneurship” and the 5th Congress of Business Informatics, prizes were awarded in the 26th edition of the of the Scientific Society of Business Informatics (Polish abbr. “NTIE”) for the best diploma theses in the field of business informatics defended in 2022. The works written under the supervision of scientists from the Department of Information Systems at the Poznań … Read More
The 10th International Scientific Conference “Knowledge and Information Technologies in Creating Entrepreneurship” and the 5th Congress of Business Informatics were held on October 5-6, 2023. During this event, representatives of our Department presented research results on assessing the quality of student essays written by ChatGPT. This year’s edition of the conference and congress was held in a hybrid mode (onsite in Olsztyn near Częstochowa and remotely). The organizers of these … Read More
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.
During the Didactic Conference at the Poznań University of Economics and Business, employees of the Department of Information Systems presented research results on the possibilities and limitations of generating texts using tools based on generative artificial intelligence, analyzing both the advantages and potential threats. The research was conducted based on the analysis of texts generated by ChatGPT as part of student essays.
On September 18-23, 2023, Dr. Milena Stróżyna is on a research visit to the University of Bayreuth (Germany) at the invitation of Prof. Agnes Koschmider. The aim of the visit is to exchange knowledge and experiences and establish scientific cooperation in the field of using Data Science and Process Mining in Industry 4.0.
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.
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.
The scientific work of members of our Department was published in the Economics and Business Review journal. The article “Artificial intelligence – friend or foe in fake news campaigns” focuses on analyzing the impact of large language models (LLM) on the phenomenon of fake news. On the one hand decent text‐generation capabilities can be misused for mass fake news production. On the other, LLMs trained on huge volumes of text … Read More
The OpenFact project team took part in the CheckThat! organized as part of the international conference CLEF 2023 (Conference and Labs of the Evaluation Forum). The method proposed by our scientists took first place. This method detects English sentences that need to be reviewed because of potential misleading and therefore are worth fact-checking.