@inproceedings{kambhatla-etal-2024-promoting,
title = "Promoting Constructive Deliberation: Reframing for Receptiveness",
author = "Kambhatla, Gauri and
Lease, Matthew and
Rajadesingan, Ashwin",
editor = "Al-Onaizan, Yaser and
Bansal, Mohit and
Chen, Yun-Nung",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-emnlp.294",
doi = "10.18653/v1/2024.findings-emnlp.294",
pages = "5110--5132",
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.",
}
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%0 Conference Proceedings
%T Promoting Constructive Deliberation: Reframing for Receptiveness
%A Kambhatla, Gauri
%A Lease, Matthew
%A Rajadesingan, Ashwin
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Findings of the Association for Computational Linguistics: EMNLP 2024
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F kambhatla-etal-2024-promoting
%X 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.
%R 10.18653/v1/2024.findings-emnlp.294
%U https://aclanthology.org/2024.findings-emnlp.294
%U https://doi.org/10.18653/v1/2024.findings-emnlp.294
%P 5110-5132
Markdown (Informal)
[Promoting Constructive Deliberation: Reframing for Receptiveness](https://aclanthology.org/2024.findings-emnlp.294) (Kambhatla et al., Findings 2024)
ACL