In 2024, the Campus OWL higher education institutions signed a Memorandum of Understanding with Pennsylvania State University (Penn State) to intensify their collaboration. As part of this strategic expansion of the partnership, Beatrice Epwene, Associate Teaching Professor of Communications at Penn State Harrisburg, will visit the Campus OWL higher education institutions in June and will also give a lecture at Paderborn University. We cordially invite all interested members of Paderborn University to attend her guest lecture on “Artificial intelligence in news stories evaluation: An applied approach to a social problem”. A brief description of the lecture can be found below.
The lecture will take place on 2 June between 11 am and 12 pm in room Q 2.228. Please register in advance.
If you have any questions about the event or are interested in a bilateral exchange with Beatrice Epwene, please contact Davina Stiller, assistant to the Vice-President for International Relations.
Abstract
This guest lecture and workshop will problematize issues of news bias, mis and dis information, and a discussion about the power of modern technological tools, specifically artificial intelligence, in proffering solutions to this vexing problem. Distrust in news today is a global concern and mis/disinformation and bias in news affect every country in the world. It is, therefore, pertinent that a global approach be taken in finding solutions to deal with these issues. The session will conclude with a demonstration and a hands-on workshop assessing the ability of the mEditor, a software platform for news analysis based on journalistic canons, as one approach and a possible solution in tackling the problem. Discussions will also be held about future collaborations, partnerships and exchanges with interested faculty and departments.
Information about Beatrice Epwene:
Communication professor with 17 years of higher education teaching experience, specializing in strategic corporate communication, media studies, and digital Technologies, with cutting-edge expertise in generative artificial intelligence and no-code technologies. A research and teaching agenda focused on AI-mediated communication, AI-powered software development, and vibe coding. Experienced in designing inclusive, practice-oriented curricula integrating AI. Equal parts professor and industry practitioner, with newsroom, strategic communication, and digital media experiences that bridge theory, research, and applied professional practice.