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, 2020-12-13, 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/ | ||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Keynote) | ||||||||||||||||||||
| Title: | Persuasiveness of News Editorials depending on Ideology and Personality | ||||||||||||||||||||
| Authors: |
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| 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 Date: | 13 December 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 of Software Technology Institute of Software Technology > Intelligent and Distributed Systems | ||||||||||||||||||||
| Deposited By: | El Baff, Roxanne | ||||||||||||||||||||
| Deposited On: | 11 Jan 2021 14:15 | ||||||||||||||||||||
| Last Modified: | 24 Apr 2024 20:41 |
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