Hi, I’m Miriam!


I’m a postdoctoral researcher at LINK Lab at Northwestern University, working with Ágnes Horvát.

My expertise lies in developing computational approaches to analyze complex and potentially harmful phenomena, such as misinformation, violent language, and abuse online. I do this by applying Natural Language Processing (NLP) to analyze large-scale text data, identify patterns, and uncover insights that inform interventions and policy-making.

I received my PhD from Technical University of Munich, where I was advised by Jürgen Pfeffer (Computational Social Science Lab). I hold undergraduate degrees in Psychology, Political Science, and History, and a master’s degree in Criminology.

During my PhD, I have also been a visiting researcher at University of Michigan, University of Cambridge, and the Auschwitz Insitute for the Prevention of Mass Atrocities in New York City.

Updates

April 24, 2025
📄 New preprint on what the overall extent of data on TikTok looks like. Huge dataset of Just Another Hour on TikTok.

March, 2025
👩‍🏫 Two tutorials accepted at ICWSM and IC2S2 on how AI is impacting misinformation in science and politics. Check out the tutorial website here.

Dec 11, 2024
📄 Abstract accepted at the ECPR Workshop on Text-as-Data Analysis in Political Science with lead author Sophie Brandt.

Nov 14, 2024
🌴 I presented my recent paper on The Language of Trauma at EMNLP 2024 in Miami. Thanks to all of you who stopped by to discuss!

Nov 1, 2024
👩‍🎓 I started my new position as a postdoc at Northwestern University’s LINK Lab. Looking forward to working with Ágnes Horvát and her amazing team!

Oct 21, 2024
🎉 I DEFENDED MY PHD! #PhDone

Apr 23, 2024
🌎 Part 2/2 of my 2024 research stay series: Thanks to David Jurgens at University of Michigan School of Information’s Blablablab for welcoming me in Ann Arbor to work on automated detection of psychological trauma in text.

Feb 13, 2024
🌎 Arrived at University of Cambridge for part 1/2 of my 2024 research stay series. I’ll be working on LLMs for hate speech detection with Petre Breazu and Napoleon Katsos at the department of Theoretical and Applied Linguistics.

Publications


Recent Talks

  • Schirmer, M. (2025, April). Sharenting and Child Exposure on TikTok. Text-as-Data (TaDa) Speaker Series.

  • Schirmer, M. (2025, February). Natural Language Processing for Objectification Detection. Information Sciences Institute (ISI), University of Southern California.

  • Schirmer, M. (2024, May). Modeling Complex Phenomena Through Language: From Hate Speech to Innovation. Center for Science of Science & Innovation (CSSI), Kellog, Northwestern University.

  • Schirmer, M. (2024, April). Natural Language Processing for Violence Research. Computational Social Science Seminar, School of Information, University of Michigan.

  • Schirmer, M., Pfeffer, J., & Kirchmair, T. (2023, September). Analyzing and Visualizing Criminal Career Trajectories. European Conference on Social Networks (EUSN). Ljubljana, Slovenia.

  • Schirmer, M., & Stewens, P. (2023, July). Natural Language Processing in Genocide Studies. 16th Biennial Meeting of the International Association of Genocide Scholars (IAGS). Barcelona, Spain.

  • Schirmer, M., & Pfeffer, J. (2023, June). The Genocide Transcript Corpus. Conference of the Research Group International Relations of the German Political Science Association. Friedrichshafen, Germany.

  • Schirmer, M. (2023, March). Mixed Methods in Genocide Research. German Digital Humanities Conference (DHd). Trier, Germany.

About Me

If I were to visit your city, you’d find me exploring a local bookshop for my next book club pick, then settling into a cozy coffee shop, or joining a salsa or bachata social.

I’m one of the deputy chairs at Genocide Alert, a German human rights organization that advocates for the effective prevention and punishment of grave human rights violations such as genocide and crimes against humanity.

My work and studies have been supported by the German Academic Scholarship Foundation, the German Business Foundation, and the Bavarian Research Institute for Digital Transformation.