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Aleksandra Wojewoda

Neutrality in Wikipedia by the Numbers: What an Analysis of Millions of Articles Reveals
News
May 2, 2026 3 min

Neutrality in Wikipedia by the Numbers: What an Analysis of Millions of Articles Reveals

Wikipedia has long been based on one of its most important principles – the neutral point of view (NPOV). In theory, this means that every article should present facts without bias. In practice, however, achieving full neutrality is a major challenge, especially across millions of articles written by people from all over the world.

#Aleksandra Wojewoda #DistilBERT #Hugging Face #Izabela Czumałowska #Krzysztof Węcel #Milena Stróżyna #OpenFact #RoBERTa #sentiment analysis #TextBlob #VADER #Wikipedia
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IJCAI 2025: Automatic Analysis of Neutrality of Wikipedia Content
News
September 25, 2025 2 min

IJCAI 2025: Automatic Analysis of Neutrality of Wikipedia Content

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.

#Aleksandra Wojewoda #conference #Hugging Face #Izabela Czumałowska #Krzysztof Węcel #Milena Stróżyna #sentiment analysis #Wikipedia #Wikipedia quality
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Boundaries of Neutrality: Sentiment Analysis of Wikipedia Articles About Companies
News
July 17, 2025 2 min

Boundaries of Neutrality: Sentiment Analysis of Wikipedia Articles About Companies

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 […]

#Aleksandra Wojewoda #Izabela Czumałowska #Milena Stróżyna #sentiment analysis #Wikipedia #Wikipedia quality
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Artificial Intelligence in Detecting Fake News
News
March 16, 2025 3 min

Artificial Intelligence in Detecting Fake News

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 […]

#Aleksandra Wojewoda #artificial intelligence #Ewelina Księżniak #fake news #Izabela Czumałowska #Krzysztof Węcel #Marcin Sawiński #Milena Stróżyna #OpenFact #Patryk Danielewicz #Piotr Stolarski #Witold Abramowicz
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Presentations at the CLEF 2024 conference
News
October 9, 2024 5 min

Presentations at the CLEF 2024 conference

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 […]

#Agata Filipowska #Aleksandra Wojewoda #CLEF #conference #Elżbieta Lewańska #Ewelina Księżniak #France #Krzysztof Węcel #Marcin Sawiński #Milena Stróżyna #OpenFact #Oskar Riewe-Perła #Piotr Stolarski #Witold Abramowicz
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Combining multiple attack methods for effective adversarial text generation
Articles
September 21, 2024 3 min

Combining multiple attack methods for effective adversarial text generation

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.

#Aleksandra Wojewoda #BERT #BiLSTM #CLEF #Elżbieta Lewańska #Ewelina Księżniak #language models #Marcin Sawiński #Milena Stróżyna #OpenFact #Piotr Stolarski #RoBERTa #Witold Abramowicz
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