Mina Schütz completed her master’s degree in information science at the Darmstadt University of Applied Sciences in May 2020 and has been a doctoral student there at the PZAI for applied computer science since the end of 2020. In addition, since 2019, she has been working at the AIT Austrian Institute of Technology GmbH in Vienna at the Center Digital Safety and Security in the area of Data Science & Artificial Intelligence. After completing her master’s degree, she has mainly specialized in natural language processing (NLP) and machine learning with a focus on disinformation and wrote her master’s thesis about the automatic detection of fake news with transformer models. Further research focuses are information retrieval, semantic web, text analysis and visual analytics, in particular transfer learning methods with language models, as well as methods for explaining machine learning models (explainable artificial intelligence). Since 2022, she is also teaching NLP at the FH Technikum Wien.
Research Topics
- Natural Language Processing
- Artificial Intelligence
- Fake News Detection
- Human-Computer Interaction