Semantic mapping of disinformation: identifying fake news topics

The scientific article of our Department’s employees 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.

Identification of fake news using generative artificial intelligence

Prof. Witold Abramowicz, advisor to the rector for artificial intelligence and digital transformation, presented issues related to automatic identification of fake news using generative artificial intelligence during the Polish Security Congress – Total Security. The event was attended by several hundred representatives of government, local government, business and science.

Presentations at the KES 2024 conference

During the 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024), Dr. Włodzimierz Lewoniewski presented a paper entitled “Exploring the Challenges and Potential of Generative AI: Insights from an Empirical Study” and a paper entitled “Supporting fact-checking process with IT tools”. The conference was held on September 11-13, 2024 in hybrid mode.

First place in an international competition in the field of information credibility

A team of scientists from the Department of Information Systems at the Poznań University of Economics and Business took part in the “CheckThat! 2024” organized as part of the international conference CLEF (Conference and Labs of the Evaluation Forum). The goal was to verify the robustness of popular text classification approaches used for credibility assessment problems.

OpenFact is again the most effective in detecting fake news

The National Center for Research and Development has completed the evaluation of the results of the second phase of the INFOSTRATEG program. The evaluation included the results achieved by three competing teams whose task is to develop solutions for detecting fake news using artificial intelligence.

Presentation at the CLEF 2023 conference

Members of our department, Ewelina Księżniak and Marcin Sawiński, took part in the 14th edition of the international CLEF conference, which is devoted to natural language processing and information retrieval. During this event, our scientists presented a method for detecting check-worthy claims, which achieved the best result in a competition organized by one of the workshops – CheckThat!Lab. The workshop and competition is devoted to detecting fake news using artificial … Read More

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.