Aleksandra Wojewoda ← Lewoniewski

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 ...

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 ...

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.