Promoting Constructive Deliberation: Reframing for Receptiveness

Gauri Kambhatla, Matthew Lease, Ashwin Rajadesingan


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://aclanthology.org/2024.findings-emnlp.294
DOI:
10.18653/v1/2024.findings-emnlp.294
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2024.findings-emnlp.294.pdf