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

The main goal was to improve the model’s ability to detect authorship changes by increasing the model’s sensitivity to characteristic style elements. The key issue was to check whether it is possible to recognize differences in writing style. The method developed by the OpenFact team consisted in introducing stylometric tags directly into the text. As a result of the work, an article “Team OpenFact at PAN 2024: Fine-Tuning BERT Models with Stylometric Enhancements” was created, describing the approach used. Authors of the publication: Ewelina Księżniak, Prof. Krzysztof Węcel, Marcin Sawiński.

It is worth mentioning that this year, a team of scientists from our Department took first place in international competitions in the area of ​​information credibility and in the area of ​​early risk prediction on the Internet. In addition, in 2023, the OpenFact project team took first place in the “CLEF-2023 CheckThat! Lab” competition – the best method for detecting sentences in English that require verification due to the possibility of misleading.

Department of Information Systems is currently implementing the OpenFact research project, within which it is developing tools for automatic detection of fake news in Polish. In July 2024, the results of the OpenFact project were rated as the best in Poland by National Center for Research and Development for the second year in a row. Victory in the prestigious CheckThat! competition confirms that the achievements of the PUEB team are important on a global scale and that the methods developed by the OpenFact team achieve equally high effectiveness in other languages.

The OpenFact project is financed by the National Center for Research and Development under the INFOSTRATEG I program “Advanced information, telecommunications and mechatronic technologies”.