14 citations · 14 across the 4 of their papers we have counts for
4 papers
Are All Genders Equal in the Eyes of Algorithms? -- Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness
Stefanie Urchs, Veronika Thurner, Matthias Aßenmacher +3
Algorithmic systems such as search engines and information retrieval platforms significantly influence academic visibility and the dissemination of knowledge. Despite assumptions o…
Fair Play in the Newsroom: Actor-Based Filtering Gender Discrimination in Text Corpora
Stefanie Urchs, Veronika Thurner, Matthias Aßenmacher +2
Language corpora are the foundation of most natural language processing research, yet they often reproduce structural inequalities. One such inequality is gender discrimination in…
taz2024full: Analysing German Newspapers for Gender Bias and Discrimination across Decades
Stefanie Urchs, Veronika Thurner, Matthias Aßenmacher +2
Open-access corpora are essential for advancing natural language processing (NLP) and computational social science (CSS). However, large-scale resources for German remain limited,…
How Prevalent is Gender Bias in ChatGPT? -- Exploring German and English ChatGPT Responses
Stefanie Urchs, Veronika Thurner, Matthias Aßenmacher +2
With the introduction of ChatGPT, OpenAI made large language models (LLM) accessible to users with limited IT expertise. However, users with no background in natural language proce…