Abstract
According to the United Nations Development Programme, gender inequality is a metric that is composed of three dimensions: reproductive health, empowerment, and the labour market. Gender inequality is an obstacle to equal opportunities in society as a whole. In this paper we present our work-in-progress of designing and playing a physical game with digital elements. We currently conduct Conversation Analysis of transcribed speech of 58567 words and documenting bias. We also test OpenAI’s ChatGPT for bias in quiz-like gender-related questions.- Anthology ID:
- 2024.lrec-main.70
- Volume:
- Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Month:
- May
- Year:
- 2024
- Address:
- Torino, Italia
- Editors:
- Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
- Venues:
- LREC | COLING
- SIG:
- Publisher:
- ELRA and ICCL
- Note:
- Pages:
- 784–788
- Language:
- URL:
- https://aclanthology.org/2024.lrec-main.70
- DOI:
- Cite (ACL):
- Dimitra Anastasiou, Carole Blond-Hanten, and Marie Gallais. 2024. A Luxembourgish Corpus as a Gender Bias Evaluation Testset. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 784–788, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- A Luxembourgish Corpus as a Gender Bias Evaluation Testset (Anastasiou et al., LREC-COLING 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.lrec-main.70.pdf