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.

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 ...

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.

ChatGPT and fake news

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 ...

First place in the international competition CheckThat!

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.

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 ...
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