<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="kambhatla-etal-2024-promoting">
    <titleInfo>
        <title>Promoting Constructive Deliberation: Reframing for Receptiveness</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Gauri</namePart>
        <namePart type="family">Kambhatla</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Matthew</namePart>
        <namePart type="family">Lease</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ashwin</namePart>
        <namePart type="family">Rajadesingan</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2024-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Findings of the Association for Computational Linguistics: EMNLP 2024</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Yaser</namePart>
            <namePart type="family">Al-Onaizan</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Mohit</namePart>
            <namePart type="family">Bansal</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Yun-Nung</namePart>
            <namePart type="family">Chen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Miami, Florida, USA</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <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.</abstract>
    <identifier type="citekey">kambhatla-etal-2024-promoting</identifier>
    <location>
        <url>https://aclanthology.org/2024.findings-emnlp.294</url>
    </location>
    <part>
        <date>2024-11</date>
        <extent unit="page">
            <start>5110</start>
            <end>5132</end>
        </extent>
    </part>
</mods>
</modsCollection>

%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.
%U https://aclanthology.org/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)

• Promoting Constructive Deliberation: Reframing for Receptiveness (Kambhatla et al., Findings 2024)

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.