Abstract
To promote constructive discussion of controversial topics online, we propose automatic reframing of disagreeing responses to signal receptiveness to a preceding comment. Drawing on research from psychology, communications, and linguistics, we identify six strategies for reframing. We automatically reframe replies to comments according to each strategy, using a Reddit dataset. Through human-centered experiments, we find that the replies generated with our framework are perceived to be significantly more receptive than the original replies and a generic receptiveness baseline. We illustrate how transforming receptiveness, a particular social science construct, into a computational framework, can make LLM generations more aligned with human perceptions. We analyze and discuss the implications of our results, and highlight how a tool based on our framework might be used for more teachable and creative content moderation.- Anthology ID:
- 2024.findings-emnlp.294
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2024
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 5110–5132
- Language:
- URL:
- https://preview.aclanthology.org/add_missing_videos/2024.findings-emnlp.294/
- DOI:
- 10.18653/v1/2024.findings-emnlp.294
- Cite (ACL):
- Gauri Kambhatla, Matthew Lease, and Ashwin Rajadesingan. 2024. Promoting Constructive Deliberation: Reframing for Receptiveness. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 5110–5132, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- Promoting Constructive Deliberation: Reframing for Receptiveness (Kambhatla et al., Findings 2024)
- PDF:
- https://preview.aclanthology.org/add_missing_videos/2024.findings-emnlp.294.pdf