Continued achievements in the global information verification competition

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.

Combining multiple attack methods for effective adversarial text generation

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.

Participation in an international competition in the area of analysis of multi-author writing style

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.

The best result in an international competition for early risk prediction on the Internet

Employees of the Department of Information Systems at the Poznań University of Economics, 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.

First place in an international competition in the field of information credibility

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.

OpenFact is again the most effective in detecting fake news

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.

Scientific sources of information in Wikipedia articles across various topics and languages

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

Presentation at the CLEF 2023 conference

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