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Franziska Weeber

Observed name: Weeber, Franziska
ORCID: 0009-0002-6447-8671
Observed ORCID: 0009-0002-6447-8671
OpenAlex ID: A5001708723
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
2023 · Thomas Hinz, Sandra Walzenbach, et al. · PLoS ONE · 15
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Assisted Text Annotation Using Active Learning to Achieve High Quality with Little Effort
2021 · Franziska Weeber, Felix Hamborg, et al. · ACM/IEEE Joint Conference on Digital Libraries · 3
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PRSM: A Measure to Evaluate CLIP’s Robustness Against Paraphrases
2026 · Udo Schlegel, Franziska Weeber, et al. · Lecture notes in computer science · 1
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Social Bias or Social Desirability? Comparing Factorial Survey Experiments for Humans and Large Language Models
2026 · Weeber, Franziska, Hinz, Thomas, et al. · arXiv (Cornell University)
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Effects of Answer Format Variation on Gender Bias in Large Language Models
2026 · Merzlyakova, Ksenia, Padó, Sebastian, et al. · arXiv (Cornell University)
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Understanding the Impact of Linguistic Realization Choices on LLM Stance with Causal Tracing
2026 · Huang, Langchen, Padó, Sebastian, et al. · arXiv (Cornell University)
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AmchiBias: Measuring Stereotypical Bias in Goan Identity Groups with a Minimal Pair Dataset in English and Konkani
2026 · Barbosa, Michelle, Padó, Sebastian, et al. · arXiv (Cornell University)
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Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMs
2026 · Association for Computational Linguistics 2026, Akbik, Alan, et al. · Underline Science Inc.
One Persona, Many Cues, Different Results: How Sociodemographic Cues Impact LLM Personalization
2026 · Association for Computational Linguistics 2026, Batzner, Jan, et al. · Underline Science Inc.
Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMs
2026 · Association for Computational Linguistics 2026, Ceron, Tanise, et al. · Underline Science Inc.
One Persona, Many Cues, Different Results: How Sociodemographic Cues Impact LLM Personalization
2026 · Weeber, Franziska, Neplenbroek, Vera, et al. · arXiv (Cornell University)
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Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMs
2026 · Williams, Tristan, Weeber, Franziska, et al. · arXiv (Cornell University)
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cross-lingual_political_bias_MLLMs
2026 · Franziska Weeber · OSF Preprints (OSF Preprints)
Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMs
2026 · Franziska Weeber, Tanise Ceron, et al. · Conference of the European Chapter of the Association for Computational Linguistics
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Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMs
2026 · Tristan Williams, Franziska Weeber, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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One Persona, Many Cues, Different Results: How Sociodemographic Cues Impact LLM Personalization
2026 · Franziska Weeber, Vera Neplenbroek, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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AmchiBias: Measuring Stereotypical Bias in Goan Identity Groups with a Minimal Pair Dataset in English and Konkani
2026 · Michelle Barbosa, Sebastian Padó, et al.
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Assisted Text Annotation Using Active Learning to Achieve High Quality with Little Effort
2021 · Weeber, Franziska, Hamborg, Felix, et al. · arXiv (Cornell University)
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Works count: 23
Citation count: 20
H-index: 2
I10-index: 1
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