Pattern-Based Detection of Linguistic Threats

Digital disinformation and AI-generated content are transforming the way we perceive and evaluate information. In cooperation with HKA – Karlsruhe University of Applied Sciences and supported by the ZKM as an educational partner, the symposium “The Fabrication of Truth” provides a platform to highlight current challenges and explore new perspectives.

The symposium is part of the project “Reality Check: Fake or Fact in the Age of Generative AI”, initiated by HKA’s Institute for Intelligent Interaction and Immersive Experience and funded by the Carl Zeiss Foundation. Its aim is to raise awareness—especially among young people—of the challenges posed by fake news, deepfakes, and digital manipulation.

The lecture presents a comprehensive system for detecting and analyzing linguistic threat patterns in texts. With the rise of large language models (LLMs), online texts themselves can become attack vectors that influence users’ opinions. We introduce a configurable text threat detection system based on linguistic patterns. Our approach uses predefined regular expressions and keyword patterns to identify specific linguistic markers that indicate malicious intent. Linguistic pattern recognition can detect potential text-based threats, providing users and developers with tools to better understand when they may be exposed to biased or manipulative content. This approach helps mitigate risks, strengthens the foundations for political discourse, and reduces political polarization.