Master Student Interviewed toward her Thesis in Detection of Fake News with AI
Mina Schütz wrote her master thesis under the supervision of Prof. Dr. Kawa Nazemi and Prof. Dr. Melanie Siegel toward “Detection and Identification of Fake News: Binary Content Classification with a Pre-Trained Language Model” at Austrian Institute of Technology (AIT), Center for Digital Safety & Security in Vienna. During her work, she could successfully conceptualize and develop a system that enables the classification of news with a high probability as fake or real on the basis of Artificial Intelligence algorithm. The work is a great product of scientific and empirical acting and will be published in the scientific world soon.
For her excellent work and the high societal relevance, the impact magazine of the h_da has interviewed her to outline the topic and her approach in a better understandable manner, particularly for non-computer-science experts. The full interview is available (in German only) on: https://impact.h-da.de/corona-und-fakenews.