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Persuasiveness of News Editorials depending on Ideology and Personality

El Baff, Roxanne and Al Khatib, Khalid and Stein, Benno and Wachsmuth, Henning (2020) Persuasiveness of News Editorials depending on Ideology and Personality. In: Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media, 3, pp. 29-40. Association for Computational Linguistics, Barcelona, Spain (Online). Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media, 13 Dec 2020 - 13 Dec 2020, Barcelona (Online).

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Official URL: https://www.aclweb.org/anthology/2020.peoples-1.4

Abstract

News editorials aim to shape the opinions of their readership and the general public on timely controversial issues. The impact of an editorial on the reader’s opinion does not only depend on its content and style, but also on the reader’s profile. Previous work has studied the effect of editorial style depending on general political ideologies (liberals vs.conservatives). In our work, we dig deeper into the persuasiveness of both content and style, exploring the role of the intensity of an ideology (lean vs.extreme) and the reader’s personality traits (agreeableness, conscientiousness, extraversion, neuroticism, and openness). Concretely, we train content- and style-based models on New York Times editorials for different ideology- and personality-specific groups. Our results suggest that particularly readers with extreme ideology and non ‘‘role model” personalities are impacted by style. We further analyze the importance of various text features with respect to the editorials’ impact, the readers’ profile, and the editorials’ geographical scope.

Item URL in elib:https://elib.dlr.de/140158/
Document Type:Conference or Workshop Item (Keynote)
Title:Persuasiveness of News Editorials depending on Ideology and Personality
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
El Baff, RoxanneGerman Aerospace Center (DLR), Germanyhttps://orcid.org/0000-0001-6661-8661
Al Khatib, KhalidBauhaus-Universität WeimarUNSPECIFIED
Stein, BennoBauhaus-Universität WeimarUNSPECIFIED
Wachsmuth, HenningPaderborn University, Paderborn, GermanyUNSPECIFIED
Date:December 2020
Journal or Publication Title:Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:3
Page Range:pp. 29-40
Publisher:Association for Computational Linguistics
Series Name:Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media
Status:Published
Keywords:natural language processing, discourse analysis, computational social science, style analysis
Event Title:Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media
Event Location:Barcelona (Online)
Event Type:Workshop
Event Dates:13 Dec 2020 - 13 Dec 2020
Organizer:Malvina Nissim, University of Groningen - Viviana Patti, University of Turin - Barbara Plank, IT University of Copenhagen
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:no assignment
DLR - Program:no assignment
DLR - Research theme (Project):no assignment
Location: Oberpfaffenhofen
Institutes and Institutions:Institute for Software Technology
Institute for Software Technology > Intelligent and Distributed Systems
Deposited By: El Baff, Roxanne
Deposited On:11 Jan 2021 14:15
Last Modified:11 Jan 2021 14:15

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