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

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.

IT Tools Supporting the Fact-Checking Process

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

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

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 ...

Dataset with Quality Assessment of 47 Million Wikipedia Articles

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

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.

BIS 2025 conference will be held in Poznań

BIS is a renowned international conference on business information systems. BIS 2025 will be the 25th in a series of international conferences. From the very beginning it has been recognized by scientists and business practitioners as a forum for the exchange and dissemination of topical research in the development, implementation, application, and improvement of computer ...

KES 2024: GenAI and Fact Checking

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

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 ...

Panel discussion at the Wikimania 2024 conference (video)

During the international conference Wikimania 2024, a panel discussion entitled “Keynote: Opening the Academia” took place. The panel concerned the topic of open science and its various aspects. In particular, the challenges faced by academic institutions that try to implement the principles of open science and the obstacles that hinder these processes were discussed. The ...
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