2 citations · 3 across the 11 of their papers we have counts for
11 papers
BavGround: A Benchmark for Regional Cultural Grounding and Dialect Competence in Bavarian
Jophin John, Michael Hoffmann, Jan Fillies +2
Cultural evaluation of large language models (LLMs) often focuses on high-resource standard languages, leaving regional culture and dialect communities underrepresented. We introdu…
Algospeak, Hiding in the Open: The Trade-off Between Legible Meaning and Detection Avoidance
Jan Fillies, Ronald E. Robertson, Jeffrey Hancock
As large language models (LLMs) increasingly mediate both content generation and moderation, linguistic evasion strategies known as Algospeak have intensified the coevolution betwe…
Bye Bye Perspective API: Lessons for Building and Governing Measurement Infrastructure
David Hartmann, Manuel Tonneau, Angelie Kraft +7
Perspective API closes at the end of 2026, removing the de facto standard for toxicity measurement and exposing researchers' dependence on a tool they did not control. Drawing on t…
ToxiGAN: Toxic Data Augmentation via LLM-Guided Directional Adversarial Generation
Peiran Li, Jan Fillies, Adrian Paschke
Augmenting toxic language data in a controllable and class-specific manner is crucial for improving robustness in toxicity classification, yet remains challenging due to limited su…
Designing and Evaluating Malinowski's Lens: An AI-Native Educational Game for Ethnographic Learning
Michael Hoffmann, Jophin John, Jan Fillies +1
This study introduces 'Malinowski's Lens', the first AI-native educational game for anthropology that transforms Bronislaw Malinowski's 'Argonauts of the Western Pacific' (1922) in…
Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting
Jan Fillies, Michael Peter Hoffmann, Rebecca Reichel +3
A lack of demographic context in existing toxic speech datasets limits our understanding of how different age groups communicate online. In collaboration with funk, a German public…
Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration
Jan Fillies, Adrian Paschke
Algorithmic hate speech detection faces significant challenges due to the diverse definitions and datasets used in research and practice. Social media platforms, legal frameworks,…
Malinowski in the Age of AI: Can large language models create a text game based on an anthropological classic?
Michael Peter Hoffmann, Jan Fillies, Adrian Paschke
Recent advancements in Large Language Models (LLMs) like ChatGPT and GPT-4 have shown remarkable abilities in a wide range of tasks such as summarizing texts and assisting in codin…
A Hate Speech Moderated Chat Application: Use Case for GDPR and DSA Compliance
Jan Fillies, Theodoros Mitsikas, Ralph Schäfermeier +1
The detection of hate speech or toxic content online is a complex and sensitive issue. While the identification itself is highly dependent on the context of the situation, sensitiv…
Hateful Messages: A Conversational Data Set of Hate Speech produced by Adolescents on Discord
Jan Fillies, Silvio Peikert, Adrian Paschke
With the rise of social media, a rise of hateful content can be observed. Even though the understanding and definitions of hate speech varies, platforms, communities, and legislatu…
User Experience Design for Automatic Credibility Assessment of News Content About COVID-19
Konstantin Schulz, Jens Rauenbusch, Jan Fillies +3
The increasingly rapid spread of information about COVID-19 on the web calls for automatic measures of quality assurance. In that context, we check the credibility of news content…