Abstract
Modern democracies face a critical issue of declining citizen participation in decision-making. Online discussion forums are an important avenue for enhancing citizen participation. This thesis proposal 1) identifies the challenges involved in facilitating large-scale online discussions with Natural Language Processing (NLP), 2) suggests solutions to these challenges by incorporating hybrid human-AI technologies, and 3) investigates what these technologies can reveal about individual perspectives in online discussions. We propose a three-layered hierarchy for representing perspectives that can be obtained by a mixture of human intelligence and large language models. We illustrate how these representations can draw insights into the diversity of perspectives and allow us to investigate interactions in online discussions.- Anthology ID:
- 2024.naacl-srw.29
- Volume:
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)
- Month:
- June
- Year:
- 2024
- Address:
- Mexico City, Mexico
- Editors:
- Yang (Trista) Cao, Isabel Papadimitriou, Anaelia Ovalle
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 272–284
- Language:
- URL:
- https://aclanthology.org/2024.naacl-srw.29
- DOI:
- Cite (ACL):
- Michiel Van Der Meer. 2024. Facilitating Opinion Diversity through Hybrid NLP Approaches. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop), pages 272–284, Mexico City, Mexico. Association for Computational Linguistics.
- Cite (Informal):
- Facilitating Opinion Diversity through Hybrid NLP Approaches (Van Der Meer, NAACL 2024)
- PDF:
- https://preview.aclanthology.org/ingestion-checklist/2024.naacl-srw.29.pdf