Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics Volume 1 |
| Untertitel | Long Papers |
| Herausgeber/-innen | Smaranda Muresan, Preslav Nakov, Aline Villavicencio |
| Seiten | 8782 - 8797 |
| Seitenumfang | 16 |
| ISBN (elektronisch) | 9781955917216 |
| Publikationsstatus | Veröffentlicht - Mai 2022 |
| Extern publiziert | Ja |
| Veranstaltung | 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022 - Dublin, Irland Dauer: 22 Mai 2022 → 27 Mai 2022 |
Publikationsreihe
| Name | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
|---|---|
| Band | 1 |
| ISSN (Print) | 0736-587X |
Abstract
An audience's prior beliefs and morals are strong indicators of how likely they will be affected by a given argument. Utilizing such knowledge can help focus on shared values to bring disagreeing parties towards agreement. In argumentation technology, however, this is barely exploited so far. This paper studies the feasibility of automatically generating morally framed arguments as well as their effect on different audiences. Following the moral foundation theory, we propose a system that effectively generates arguments focusing on different morals. In an in-depth user study, we ask liberals and conservatives to evaluate the impact of these arguments. Our results suggest that, particularly when prior beliefs are challenged, an audience becomes more affected by morally framed arguments.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Angewandte Informatik
- Sozialwissenschaften (insg.)
- Linguistik und Sprache
- Geisteswissenschaftliche Fächer (insg.)
- Sprache und Linguistik
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics Volume 1: Long Papers. Hrsg. / Smaranda Muresan; Preslav Nakov; Aline Villavicencio. 2022. S. 8782 - 8797 (Proceedings of the Annual Meeting of the Association for Computational Linguistics; Band 1).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - The Moral Debater
T2 - 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022
AU - Alshomary, Milad
AU - El Baff, Roxanne
AU - Gurcke, Timon
AU - Wachsmuth, Henning
N1 - Publisher Copyright: © 2022 Association for Computational Linguistics.
PY - 2022/5
Y1 - 2022/5
N2 - An audience's prior beliefs and morals are strong indicators of how likely they will be affected by a given argument. Utilizing such knowledge can help focus on shared values to bring disagreeing parties towards agreement. In argumentation technology, however, this is barely exploited so far. This paper studies the feasibility of automatically generating morally framed arguments as well as their effect on different audiences. Following the moral foundation theory, we propose a system that effectively generates arguments focusing on different morals. In an in-depth user study, we ask liberals and conservatives to evaluate the impact of these arguments. Our results suggest that, particularly when prior beliefs are challenged, an audience becomes more affected by morally framed arguments.
AB - An audience's prior beliefs and morals are strong indicators of how likely they will be affected by a given argument. Utilizing such knowledge can help focus on shared values to bring disagreeing parties towards agreement. In argumentation technology, however, this is barely exploited so far. This paper studies the feasibility of automatically generating morally framed arguments as well as their effect on different audiences. Following the moral foundation theory, we propose a system that effectively generates arguments focusing on different morals. In an in-depth user study, we ask liberals and conservatives to evaluate the impact of these arguments. Our results suggest that, particularly when prior beliefs are challenged, an audience becomes more affected by morally framed arguments.
UR - http://www.scopus.com/inward/record.url?scp=85137359563&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2203.14563
DO - 10.48550/arXiv.2203.14563
M3 - Conference contribution
T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics
SP - 8782
EP - 8797
BT - Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics Volume 1
A2 - Muresan, Smaranda
A2 - Nakov, Preslav
A2 - Villavicencio, Aline
Y2 - 22 May 2022 through 27 May 2022
ER -