Contact
Pfaffenwaldring 5 b
70569 Stuttgart
Deutschland
Room: 02.018
Office Hours
Upon request, just send me an email.
Subject
I am a research assistant and PhD student in the Theoretical Computational Linguistics group, supervised by Prof. Dr. Sebastian Padó. I also am a guest researcher in the Machine Learning group of Prof. Dr. Alan Akbik at Humboldt University Berlin.
My research lies at the intersection of Natural Language Processing and Computational Social Science, focusing on measuring and explaining social and political opinions and biases in large language models. I am particularly interested in multilingual perspectives, cross-lingual transfer, and the robustness of evaluation methods, as well as annotation and computational social science more broadly.
I enjoy collaborating with researchers who share these interests. I also supervise student projects and theses related to my research areas. Please feel free to get in touch if either applies to you. In addition, I have taught seminars on bias, discourse analysis, and annotation.
- Franziska Weeber, Vera Neplenbroek, Jan Batzner, and Sebastian Padó. 2026. One Persona, Many Cues, Different Results: How Sociodemographic Cues Impact LLM Personalization. arXiv preprint. arXiv:2601.18572.
- Tristan Williams, Franziska Weeber, Sebastian Padó, and Alan Akbik. 2026. Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMs. arXiv preprint. arXiv:2601.15755.
- Udo Schlegel, Franziska Weeber, Jian Lan, and Thomas Seidl. 2026. PRSM: A Measure to Evaluate CLIP’s Robustness Against Paraphrases. 32nd International Conference on Multimedia Modeling. Prague, Czech Republic.
- Franziska Weeber, Tanise Ceron, and Sebastian Padó. 2025. Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMs. arXiv preprint. arXiv:2508.05553. (Accepted to EACL 2026 main conference)
- Thomas Hinz, Sandra Walzenbach, Johannes Laufer, and Franziska Weeber. 2023. Media coverage, fake news, and the diffusion of xenophobic violence: A fine-grained county-level analysis of the geographic and temporal patterns of arson attacks during the German refugee crisis 2015–2017. PLOS ONE, 18(7):e0288645.
- Franziska Weeber, Thomas Hinz, Jasmin Meyer, and Frank Multrus. 2024. Rule-based semi-automated coding procedure to classify fields of study in surveys among university students in Germany. Hefte zur Bildungs- und Hochschulforschung, 99.
- Franziska Weeber, Felix Hamborg, Karsten Donnay, and Bela Gipp. 2021. Assisted Text Annotation Using Active Learning to Achieve High Annotation Quality with Little Effort. 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL). Online.
Seminars
- Winter term 2025/2026: Social Bias in NLP (together with Allison Keith)
- Summer term 2025: Annotation for NLP in the Age of AI (together with Allison Keith)
- Winter term 2024/2025: Biases in Language Representations (together with Prof. Dr. Sebastian Padó)
- Summer term 2024: Argument Mining and Discourse Analysis (together with Tanise Ceron)
Lectures
- Winter term 2025/2026: Methods for Computational Linguistics (together with Prof. Dr. Sabine Schulte im Walde and Dr. Antje Schweitzer)
Experience
- since 2024: research assistant and PhD Student at IMS
- since 2022: guest researcher at Humboldt University Berlin
- 2023 - 2024: Data Engineer at Stifterverband
- 2022 - 2023: eXist founding scholarship holder, project: textada, an AI supported annotation tool
- 2022 - 2023: research assistant at Heidelberger Akademie der Wissenschaften (media bias analysis)
- 2021 - 2022: research assistant at University of Konstanz (automating free text classification in survey science)
- 2015 - 2021: student assistant for the chairs for Empirical Social Research and Survey Research, Statistics, Zukunftskolleg/Departemnt of Law, Economic Education, and Data Analysis and Visualization
- 2015 - 2021: teaching assistant for Scientific Working, Quantitative Empirical Methods, Statistics, Data Analysis, and Introduction to Computational Social Science
Education
- 2018 - 2021: M.Sc. in Social and Economic Data Science, University of Konstanz
- 2014 - 2018: B.A. in Sociology (major) and Computer Science (minor), University of Konstanz