Tag: COVID-19

Political Narratives and Misinformation During COVID-19: Insights from an Analysis of Polish Twitter

At the BIS 2025 conference, Ewelina Księżniak presented the results of a research project focused on the analysis of political narratives and misinformation spread via social media during the COVID-19 pandemic. Our researchers investigated how supporters of four Polish political parties – Law and Justice (PiS), Civic Platform (PO), Confederation, The Left (Lewica) – engaged in pandemic-related discussions. The study employed natural language processing techniques, including BERTopic and stance classification … Read More

First place in an international competition in the field of information credibility

A team of scientists from the Department of Information Systems at the Poznań University of Economics and Business took part in the “CheckThat! 2024” organized as part of the international conference CLEF (Conference and Labs of the Evaluation Forum). The goal was to verify the robustness of popular text classification approaches used for credibility assessment problems.

The Impact of Crises on Maritime Traffic: A Case Study of the COVID-19 Pandemic and the War in Ukraine

The article by employees of our Department was published in the journal “Networks and Spatial Economics” by Springer. The work analyzes the impact of international crises, such as the COVID-19 pandemic and the war in Ukraine, on maritime traffic and their consequences for the global and local economy.