Department of Information Systems
Poznań University of Economics and Business
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.
The work of our scientists on the analysis of digital currency exchanges has been published on the Springer website. As part of the research, models for predicting the success and bankruptcy of cryptocurrency exchanges were developed, based on financial data and information collected from open Internet sources such as Wikipedia and Wikidata. The aim of the work was to identify key aspects that can support the risk analysis process and … Read More
During the Wikimania 2024 conference, the results of scientific research on measuring Americanization in various regions of the world based on open data from Wikipedia and Wikidata were presented. The conducted research reveals differences in interest in American topics depending on the level of development of countries, offering a new perspective on global cultural dominance. At the same time, the analysis emphasizes the role of Wikipedia and Wikidata as tools … Read More
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, Dr. Włodzimierz Lewoniewski discussed the methods and tools used to analyze and evaluate content in a popular multilingual encyclopedia and ways of identifying and assessing … Read More
Scientific article entitled “Quantifying Americanization: Coverage of American Topics in Different Wikipedias” was published in the Social Science Computer Review journal. The work is the first global, quantitative confirmation of issues often raised or assumed in the literature on Americanization and related phenomena.
The latest issue of the ACADEMIA magazine published an article on the automation of the content quality assessment process in multilingual Wikipedia. The work briefly presents the advantages and disadvantages of the open nature of this encyclopedia, differences in the quality assessment systems and distinctions for Wikipedia articles between language versions, and issues related to the assessment of the reliability of information sources.
The results of scientific research of employees of our Department were published in the journal “Procedia Computer Science” by Elsevier on the ScienceDirect website. As part of the work, hundreds of millions of references in Wikipedia articles from various language versions were analyzed to identify scientific sources of information. Additionally, Wikipedia articles have been divided into various topics using information from Wikipedia projects and based on semantic knowledge bases – … Read More
The beginning of the academic year in the United States coincided with a speech by Dr. Włodzimierz Lewoniewski at Tufts University. The colloquium discussed issues related to the use of artificial intelligence and large open data sets to automate the process of assessing the quality of Wikipedia articles and its information sources in various language versions.
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.
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.