7 papers
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,…
GETAE: Graph information Enhanced deep neural NeTwork ensemble ArchitecturE for fake news detection
Ciprian-Octavian TruicÄ, Elena-Simona Apostol, Marius Marogel +1
In today's digital age, fake news has become a major problem that has serious consequences, ranging from social unrest to political upheaval. To address this issue, new methods for…
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…