Department of Information Systems
Poznań University of Economics and Business
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.
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 of fake news detection using artificial intelligence, the OpenFact project received the highest number of … Read More
During the 9th of the National Scientific Conference “Knowledge and information technologies in creating entrepreneurship” (WiTIwKP), representatives of our Department presented the SocialScan tool supporting the verification of credibility of information on social networks. This year’s edition of the conference was held on October 6-7 in a hybrid mode (stationary in Olsztyn near Częstochowa and remotely).
During the eleventh edition of the Professor Zbigniew Czerwiński National Scientific Conference “Mathematics and IT at the services of economics” (MIUE 2022), a lecture entitled “Can social media defend against fake news?” was delivered. The presentation cointained department’s research on the detection of fake news using artificial intelligence methods. This year’s edition of the MIUE conference was held on September 16 remotely.
On 2nd December 2021 our department started the OpenFact project. The objective of the project is to develop a tool for verifying the credibility of information sources in the Internet and for detecting fake news using Artificial Intelligence. As part of this project, the members of our department are preparing a solution that will inform users about source’s credibility and news veracity assessment by propagating this results in search engines … Read More