Miriam Schirmer

Miriam Schirmer is a postdoctoral researcher at the LINK Lab at Northwestern University, collaborating with Ágnes Horvát. Her research focuses on computational approaches to analyze misinformation, violent language, and online abuse through Natural Language Processing (NLP) of large-scale text data.

• Education:
  • PhD in Computational Social Science from Technical University of Munich (2024)
  • Master's in Criminology
  • Bachelor's in Psychology, Political Science, and History

Schirmer's research spans hate speech detection, psychological trauma modeling, and child safety on social platforms. She has developed tools like GENTRAC for genocide-related trauma analysis and investigates LLM effectiveness in socio-political discourse interpretation.

Recent publications examine TikTok content patterns, trauma language across domains, and hybrid hate speech detection systems. Her work emphasizes human-AI collaboration to address limitations in ideological sensitivity.

• Key affiliations include
  • Northwestern University's Computational Social Science Initiative
  • Technical University of Munich's Computational Social Science Lab

She has received funding from the German Academic Scholarship Foundation and the Bavarian Research Institute for Digital Transformation, with visiting researcher experience at University of Michigan, University of Cambridge, and the Auschwitz Institute.