Adrian Jaques Böck

Adrian Jaques Böck serves as a Junior Researcher at the Media Computing Research Group within the Institute of Creative Media Technologies at St. Pölten University of Applied Sciences. His work is housed in the Department of Media and Digital Technologies, where he contributes to cutting-edge research in artificial intelligence and natural language processing.

Dr. Böck's primary research interests focus on applying machine learning techniques to social issues, particularly analyzing and countering toxic content online. His expertise spans Natural Language Processing, Machine Learning, and Artificial Intelligence with specific applications in sexism detection, fake news identification, and fact-claiming analysis. His research often leverages multilingual transformer models and transfer learning approaches.

His recent publications demonstrate a consistent focus on developing AI systems that can detect problematic content across multiple languages and contexts. The research trajectory shows increasing sophistication in combining multiple approaches (transfer learning, sentiment analysis, and hand-crafted features) to improve detection accuracy for social media content analysis.

Dr. Böck actively contributes to two major research initiatives: QuickSpeech (focused on automatic question and answer generation for corporate training applications) and Counter Speech (developing computer-assisted strategies to combat online hate speech). These projects align with his broader research theme of applying AI to real-world social challenges.

As a member of the Media Computing Research Group, Dr. Böck collaborates extensively with colleagues including Schütz, Liakhovets, and Schindler on various AI and NLP projects. His work bridges theoretical machine learning advancements with practical applications in digital media and social platforms.