Speech at the KES 2023 conference

During the international conference KES 2023 (27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems), research results on the use of scientific information sources in multilingual Wikipedia on various topics were presented. This year’s edition of the KES conference was organized in Athens (Greece) on September 6-8 in a hybrid mode.

Artificial intelligence in fake news campaigns: experiments with ChatGPT

The scientific work of members of our Department was published in the Economics and Business Review journal. The article “Artificial intelligence – friend or foe in fake news campaigns” focuses on analyzing the impact of large language models (LLM) on the phenomenon of fake news. On the one hand decent text‐generation capabilities can be misused for mass fake news production. On the other, LLMs trained on huge volumes of text … Read More

First place in the international competition CLEF-2023 CheckThat! Lab

The OpenFact project team took part in the CheckThat! organized as part of the international conference CLEF 2023 (Conference and Labs of the Evaluation Forum). The method proposed by our scientists took first place. This method detects English sentences that need to be reviewed because of potential misleading and therefore are worth fact-checking.

Companies in Multilingual Wikipedia: Articles Quality and Important Sources of Information

The scientific work of members of our Department was published in the monograph “Information Technology for Management: Approaches to Improving Business and Society” published by the Springer. The research concerns the automatic assessment of the quality of Wikipedia articles and the reliability of sources of information about companies in different languages.

Lectures and workshops during the ENIGMA Metropolitan Science Festival

Members of the Department of Information Systems conducted lectures and workshops during the five editions of the ENIGMA Metropolitan Science Festival. Over 1,000 students from various schools in Poznań and Szamotuły took part in the events. The materials presented during the Festival included issues related to the scientific research of our Department in the field of automatic identification of fake news on the Internet, assessment of the quality of information … Read More

The highest score for the OpenFact project

The OpenFact project is run by the team of our Department in cooperation with technological and substantive partners, including: Google, Facebook, Bright Data, Harvard University, as well as leading fact-checking organizations in Poland. During the evaluation of the first phase of the INFOSTRATEG program of the National Center for Research and Development, in the field of fake news detection using artificial intelligence, the OpenFact project received the highest number of … Read More

Identifying Reliable Sources of Information about Companies in Multilingual Wikipedia

The IEEE published a paper on the automatic identification of reliable sources of information about companies in the multilingual Wikipedia. The information source assessment models presented in the publication can help Internet users find valuable sources of information about companies using open data from Wikipedia, DBpedia and Wikidata.