Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 58th Annual Meeting of the Association for Computational Linguistics |
| Editors | Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel Tetreault |
| Pages | 3154-3160 |
| Number of pages | 7 |
| ISBN (electronic) | 9781952148255 |
| Publication status | Published - Jul 2020 |
| Externally published | Yes |
| Event | The 58th Annual Meeting of the Association for Computational Linguistics - Online, Unknown Duration: 5 Jul 2020 → 10 Jul 2020 |
Publication series
| Name | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
|---|---|
| ISSN (Print) | 0736-587X |
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.
ASJC Scopus subject areas
- Arts and Humanities(all)
- Language and Linguistics
- Computer Science(all)
- Computer Science Applications
- Social Sciences(all)
- Linguistics and Language
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Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. ed. / Dan Jurafsky; Joyce Chai; Natalie Schluter; Joel Tetreault. 2020. p. 3154-3160 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - Analyzing the Persuasive Effect of Style in News Editorial Argumentation
AU - El Baff, Roxanne
AU - Wachsmuth, Henning
AU - Al-Khatib, Khalid
AU - Stein, Benno
N1 - Publisher Copyright: © 2020 Association for Computational Linguistics
PY - 2020/7
Y1 - 2020/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85098827794&partnerID=8YFLogxK
U2 - 10.18653/v1/2020.acl-main.287
DO - 10.18653/v1/2020.acl-main.287
M3 - Conference contribution
T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics
SP - 3154
EP - 3160
BT - Proceedings of 58th Annual Meeting of the Association for Computational Linguistics
A2 - Jurafsky, Dan
A2 - Chai, Joyce
A2 - Schluter, Natalie
A2 - Tetreault, Joel
T2 - The 58th Annual Meeting of the Association for Computational Linguistics
Y2 - 5 July 2020 through 10 July 2020
ER -