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Analyzing the Persuasive Effect of Style in News Editorial Argumentation

El Baff, Roxanne and Wachsmuth, Henning and Al Khatib, Khalid and Stein, Benno (2020) Analyzing the Persuasive Effect of Style in News Editorial Argumentation. Association for Computational Linguistics, Online. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 05-10 Jul. 2020, Online. doi: 10.18653/v1/2020.acl-main.287.

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Official URL: https://www.aclweb.org/anthology/2020.acl-main.287

Abstract

News editorials argue about political issues in order to challenge or reinforce the stance of readers with different ideologies. Previous research has investigated such persuasive effects for argumentative content. In contrast, this paper studies how important the style of news editorials is to achieve persuasion. To this end, we first compare content- and style-oriented classifiers on editorials from the liberal NYTimes with ideology-specific effect annotations. We find that conservative readers are resistant to NYTimes style, but on liberals, style even has more impact than content. Focusing on liberals, we then cluster the leads, bodies, and endings of editorials, in order to learn about writing style patterns of effective argumentation.

Item URL in elib:https://elib.dlr.de/137737/
Document Type:Conference or Workshop Item (Speech)
Title:Analyzing the Persuasive Effect of Style in News Editorial Argumentation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
El Baff, RoxanneUNSPECIFIEDhttps://orcid.org/0000-0001-6661-8661
Wachsmuth, HenningUNSPECIFIEDUNSPECIFIED
Al Khatib, KhalidUNSPECIFIEDUNSPECIFIED
Stein, BennoUNSPECIFIEDUNSPECIFIED
Date:July 2020
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.18653/v1/2020.acl-main.287
Page Range:pp. 3154-3160
Publisher:Association for Computational Linguistics
Status:Published
Keywords:discourse analysis, style analysis, computational argumentation, news editorials, political ideology
Event Title:Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Event Location:Online
Event Type:international Conference
Event Dates:05-10 Jul. 2020
Organizer:ACL
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Vorhaben SISTEC (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute for Software Technology > Intelligent and Distributed Systems
Institute for Software Technology
Deposited By: El Baff, Roxanne
Deposited On:23 Nov 2020 09:29
Last Modified:24 Nov 2020 11:50

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