Wikipedia ← Lewoniewski

Grokipedia vs Wikipedia: Quantitative Analysis (video)

Nov

11

2025

Recently, Grokipedia v0.1 was released — an AI-based knowledge system inspired by Wikipedia. But how complete is it? And what does its topic coverage look like compared to Wikipedia? Moreover, how does it differ across the many language editions of the world’s largest encyclopedia?

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 ...

From Blockchain Trends to the Quality of Visualizations in Wikipedia

Oct

30

2025

At the KES 2025 international scientific conference, two papers were presented, reporting the results of research on the evolution of scientific trends in blockchain technology and on the quality and distribution of data visualizations in the Polish Wikipedia.

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.

Wikimania 2025: Climate Change Knowledge on Wikipedia (video)

Aug

12

2025

During the Wikimania 2025 conference, the results of a scientific study were presented, focusing on a cross-language comparative analysis of Wikipedia articles on climate change. Using open datasets made it possible to examine article quality and compare their popularity across languages. For instance, an analysis of over one billion links between Wikipedia articles helped identify ...

25 Years of Wikipedia: A Chronicle of Milestones (2001–2025)

Jul

31

2025

Recently, the English Wikipedia reached an impressive 7 million articles, and together, all language versions now boast over 65 million articles. This new video animates the monthly growth of over 300 Wikipedia language editions, tracking article numbers from January 2001 to May 2025. Explore the rapid expansion, milestone moments, and the collaborative effort that shaped ...

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 ...

Wiki Workshop 2025: Citation Index and Synthetic Quality Measure for Wikipedia (video)

Jun

28

2025

At the Wiki Workshop 2025, the results of a scientific study were presented in which a comprehensive analysis of Wikipedia articles was conducted across 55 language editions and 18 thematic categories. The study introduced an original approach combining a citation index with a synthetic quality measure for articles.

Dataset with Quality Assessment of 47 Million Wikipedia Articles

Mar

5

2025

On the Hugging Face platform, an extensive dataset has been published containing the results of automated quality assessments for 47 million Wikipedia articles in 55 language versions. These evaluations were carried out using the algorithms employed by WikiRank.net, a tool that compares the quality of Wikipedia articles across different languages.

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.