{"id":560,"date":"2025-02-28T19:32:30","date_gmt":"2025-02-28T19:32:30","guid":{"rendered":"https:\/\/kie.ue.poznan.pl\/en\/?p=560"},"modified":"2025-03-04T19:39:12","modified_gmt":"2025-03-04T19:39:12","slug":"ai-transformations-artificial-intelligence-in-detecting-fake-news","status":"publish","type":"post","link":"https:\/\/kie.ue.poznan.pl\/en\/news\/ai-transformations-artificial-intelligence-in-detecting-fake-news\/","title":{"rendered":"AI Transformations: Artificial Intelligence in Detecting Fake News"},"content":{"rendered":"

The fourth seminar on artificial intelligence and digital transformation was devoted to the issue of automatic detection of fake news. On February 24, 2025, during the meeting, a research team from the Department of Information Systems presented the results of the OpenFact<\/a> project, developed at the Pozna\u0144 University of Economics and Business (PUEB). The aim of the project is to create innovative solutions using artificial intelligence (AI) to identify potentially false content published on the Internet.<\/p>\n

Verifying information on the Internet requires advanced linguistic and contextual analysis. AI tools must recognize subtle differences between true and false content and handle the continuous influx of massive amounts of data. Additionally, methods of manipulation and creating fake news are constantly being improved. Therefore, developing effective mechanisms for the automatic identification of faake news requires interdisciplinary collaboration between experts from various fields.<\/p>\n

Analyzing a broad spectrum of sources (e.g., news portals, social media, blogs) and processing huge volumes of data in real time is a significant challenge. AI systems can automatically classify and filter content, speeding up the identification of potentially false messages. However, not all information requires immediate verification \u2013 first, it is necessary to assess which statements are most harmful, how quickly they spread, and whether they concern important social and political issues. <\/p>\n

Machine learning models can help detect suspicious content, automatically suggesting verification priorities. Moreover, information often appears in the context of multiple sources, and it is also essential to recognize the sender\u2019s intentions and distinguish irony, sarcasm, or contextual manipulation. Thanks to AI tools, it is possible to automatically compare data from multiple resources (knowledge bases, statistics, official reports) and preliminarily assess the credibility of sources.<\/p>\n

The speakers were: Prof. Witold Abramowicz<\/a>, Prof. Krzysztof W\u0119cel<\/a>, Dr. W\u0142odzimierz Lewoniewski<\/a>, Dr. Piotr Stolarski<\/a>, Dr. Milena Str\u00f3\u017cyna<\/a>, Ewelina Ksi\u0119\u017cniak<\/a>, Marcin Sawi\u0144ski<\/a>.<\/p>\n

The OpenFact project is financed by the National Centre for Research and Development under the INFOSTRATEG I program \u201cAdvanced information, telecommunications and mechatronic technologies\u201d. In July 2024, the results of the OpenFact project were rated the highest<\/a> by National Center for Research and Development for the second year in a row.<\/p>\n

In the photo, representatives of the OpenFact team (from left): Dr. W\u0142odzimierz Lewoniewski, Izabela Czuma\u0142owska, Patryk Danielewicz, Aleksandra Wojewoda, Dr. Piotr Stolarski, Dr. Milena Str\u00f3\u017cyna, Prof. Witold Abramowicz, Prof. Krzysztof W\u0119cel.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

The fourth seminar on artificial intelligence and digital transformation was devoted to the issue of automatic detection of fake news. On February 24, 2025, during the meeting, a research team from the Department of Information Systems presented the results of the OpenFact project, developed at the Pozna\u0144 University of Economics and Business (PUEB). The aim of the project is to create innovative solutions using artificial intelligence (AI) to identify potentially … Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":561,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[236,173,46,117,109,198,14,116,31,110,217,4,24,13],"class_list":["post-560","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-aitransformations","tag-aleksandra-wojewoda","tag-artificial-intelligence","tag-ewelina-ksiezniak","tag-fake-news","tag-izabela-czumalowska","tag-krzysztof-wecel","tag-marcin-sawinski","tag-milena-strozyna","tag-openfact","tag-patryk-danielewicz","tag-piotr-stolarski","tag-witold-abramowicz","tag-wlodzimierz-lewoniewski"],"_links":{"self":[{"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/posts\/560","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/comments?post=560"}],"version-history":[{"count":0,"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/posts\/560\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/media\/561"}],"wp:attachment":[{"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/media?parent=560"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/categories?post=560"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kie.ue.poznan.pl\/en\/wp-json\/wp\/v2\/tags?post=560"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}