News ← Lewoniewski

Seminar on Wikipedia quality at Tufts University

Sep

25

2023

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

Sep

15

2023

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

Aug

1

2023

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!

Jul

27

2023

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.

Wikipedia quality assessment using AI & Big Data

Jul

5

2023

On June 2, a webinar was held on automatic quality assessment of Wikipedia articles and information sources in different languages. Participants could move from the theoretical area of scientific research to concrete practice. It was a good opportunity to deepen knowledge in the field of information technology and understand how science combines with practical application.

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

Jun

9

2023

The scientific work of the employees of the Department of Economic Informatics of PUEB was published in the monograph “Information Technology for Management: Approaches to Improving Business and Society” published by the Springer publishing house. The work focuses on the automatic assessment of the quality of Wikipedia articles and the study of the credibility of ...

Poznań Science and Art Festival

May

28

2023

During the 26th Poznań Science and Art Festival, members of the Department of Information Systems PUEB conducted a lecture on recognizing false information on the Internet. Participants had the opportunity to ask questions and share their experiences, which further enriched the discussion and made the event not only educational, but also interactive.

Wiki Workshop 2023

May

27

2023

On May 11, the tenth edition of the scientific forum for people studying various aspects of Wikipedia and other Wikimedia projects – Wiki Workshop 2023 took place. As part of this event, the results of scientific research in the area of analysis of global interest in American topics in the multilingual Wikipedia were presented.

ENIGMA Metropolitan Science Festival

May

19

2023

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 ...

Bibliometric analyses of Open Science

Apr

25

2023

On April 18-19, the First Poznań Conference “Bibliometric analyses of Open Science” was held. During the conference, a presentation was given on the use of scientific publications and other important sources of information in Wikipedia articles in various language versions. The scientific research concerned the analysis of big data, which made it possible to understand ...