From legal to technical concept: Towards an automated classification of German political Twitter postings as criminal offenses. - Frederike Zufall; Tobias Horsmann; Torsten Zesch (NAACL-HLT (1), 2019)

Operationalizing the legal concept of 'Incitement to Hatred' as an NLP task. - Frederike Zufall; Huangpan Zhang; Katharina Kloppenborg; Torsten Zesch (CoRR, 2020)

A simple mathematical model for the legal concept of balancing of interests. - Frederike Zufall; Rampei Kimura; Linyu Peng (ICAIL, 2021)

A Legal Approach to Hate Speech - Operationalizing the EU's Legal Framework against the Expression of Hatred as an NLP Task. - Frederike Zufall; Marius Hamacher; Katharina Kloppenborg; Torsten Zesch (NLLP@EMNLP, 2022)

Investigating Deceptive Design in GDPR's Legitimate Interest. - Lin Kyi; Sushil Ammanaghatta Shivakumar; Cristiana Teixeira Santos; Franziska Roesner; Frederike Zufall; Asia J. Biega (CHI, 2023)

Towards a simple mathematical model for the legal concept of balancing of interests. - Frederike Zufall; Rampei Kimura; Linyu Peng (Artif. Intell. Law, 2023)

Operationalizing Content Moderation "Accuracy" in the Digital Services Act. - Johnny Tian-Zheng Wei; Frederike Zufall; Robin Jia (AIES (1), 2024)

Conditioning Large Language Models on Legal Systems? Detecting Punishable Hate Speech. - Florian Ludwig; Torsten Zesch; Frederike Zufall (CoRR, 2025)