Milena Stróżyna ← Lewoniewski

Researchers’ Night 2025: Operation InfoVerification

Oct

31

2025

During Researchers’ Night 2025, the staff of the Department of Information Systems conducted workshops titled “Operation InfoVerification” that were presented in the engaging form of a field game. The event introduced participants to the process of verifying information and identifying fake news. The workshops combined elements of adventure, investigation, and logic-based challenges, immersing participants in ...

IJCAI 2025: Automatic Analysis of Neutrality of Wikipedia Content

Sep

25

2025

Neutral Point of View (NPOV) is one of the core principles of Wikipedia. According to this guideline, content should be presented objectively, taking into account all significant perspectives without favoring any particular one.

Boundaries of Neutrality: Sentiment Analysis of Wikipedia Articles About Companies

Jul

17

2025

A new scientific paper has been published that takes on the challenge of assessing the neutrality of Wikipedia articles about companies, using advanced sentiment analysis tools. This publication represents an important step toward monitoring the neutrality of one of the most influential sources of knowledge on the Internet and may be useful to anyone interested ...

IT Tools Supporting the Fact-Checking Process

Mar

23

2025

A scientific article addressing the processes of fact-checking and the IT tools supporting information verification has been published in open access. The study deepens understanding of countering online disinformation by introducing a structured fact-checking model alongside practical technological solutions.

Artificial Intelligence in Detecting Fake News

Mar

16

2025

The fourth seminar on artificial intelligence (AI) and digital transformation focused on the critical issue of automatically detecting fake news. During the event, a research team from the Department of Information Systems PUEB presented the latest findings from their ongoing OpenFact project, which aims to develop innovative AI-based solutions capable of identifying false content published ...

Exploring the Challenges and Potential of Generative AI: Insights from an Empirical Study

Mar

8

2025

The scientific paper entitled “Exploring the Challenges and Potential of Generative AI: Insights from an Empirical Study” has been published in open access. Carried out within the OpenFact project, the research highlights both the capabilities and the practical challenges posed by these advanced AI tools. The experiment results revealed frequent occurrences of AI “hallucinations”, instances ...

Semantic mapping of disinformation: identifying fake news topics

Nov

9

2024

The scientific article 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.

KES 2024: GenAI and Fact Checking

Oct

11

2024

During the 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024), two papers were presented: “Exploring the Challenges and Potential of Generative AI: Insights from an Empirical Study” and “Supporting fact-checking process with IT tools”. The conference was held on September 11-13, 2024 in hybrid mode.

Presentations at the CLEF 2024 conference

Oct

9

2024

On September 9-12, 2024, scientists from the Department of Information Systems PUEB 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 ...

Combining multiple attack methods for effective adversarial text generation

Sep

21

2024

An article 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.