27th Poznań Festival of Science and Art

As part of the 27th Poznań Festival of Science and Art, workshops on fake news detection were held. During the event, participants had the opportunity to learn how to distinguish fake news from real information and what tools they can use to verify content on social media.

The most cited scientific information sources in Wikipedia articles across various languages

The latest issue of the journal “Biblioteka” published an article on the analysis of citations to scientific works in Wikipedia. The analysis covered 332 million references in 61 million Wikipedia articles in 309 language versions. In order to standardize the metadata of important sources of information on multilingual Wikipedia, data from the OpenAlex, an open ...

Automatic quality assessment of articles in multilingual Wikipedia and identification of its important information sources on various topics

An open scientific seminar of the Institute of Informatics and Quantitative Economics on automatic quality assessment of articles in multilingual Wikipedia and identification of important sources of its information on various topics was held at the Poznań University of Economics and Business. During the seminar, the methods and tools used to analyze and evaluate content ...

From science to practice: identifying important sources of information on Wikipedia

During the webinar, the possibilities of identifying and automatically assessing the significance of information sources of Wikipedia articles from different language versions were presented. As part of the practical part, some of the capabilities of the BestRef tool were shown, which contains information about the results of the evaluation of millions of Internet sources in ...

Assessment results of millions of information sources on Wikipedia

The principle of verifiability on Wikipedia mandates that all content must be verifiable by readers through reliable sources. Wikipedia insists on information being based on what has been previously reported in reputable publications, not the personal convictions or unpublished work of its contributors. If there are contrasting views from reliable sources, Wikipedia maintains an impartial ...

Guinness World Record for the longest time editing Wikipedia

The Polish Wikipedia community enthusiastically celebrated the website’s 22nd anniversary by taking on an extraordinary challenge – breaking the Guinness record for the longest joint editing of Wikipedia in the world. The ambitious goal was achieved on September 26-30, 2023 – uninterrupted Wikipedia editing for 100 hours. The event was organized by the Wikimedia Polska ...

Seminar on Wikipedia quality at Tufts University

The beginning of the academic year in the United States coincided with a seminar at Tufts University on the automation of the process of assessing the quality of Wikipedia articles and its information sources in various language versions. The event took place on September 7, 2023 at the Joyce Cummings Center (JCC). This is 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.

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.
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