Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics 2020
DOI: 10.18653/v1/2020.acl-main.287
|View full text |Cite
|
Sign up to set email alerts
|

Analyzing the Persuasive Effect of Style in News Editorial Argumentation

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 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
39
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
6
2
2

Relationship

2
8

Authors

Journals

citations
Cited by 37 publications
(40 citation statements)
references
References 25 publications
1
39
0
Order By: Relevance
“…al. [32] compare content-and style-oriented classifiers on editorials from the liberal NYTimes with ideology-specific effect annotations to explore the effect of writing style of editorials to audience of different parties; Ji et al [6] propose the task of identifying interactive argument pairs in online debate forum such as ChangeMyView (CMV), along with a novel representation learning method called Discrete Variational Encoder (DVAE) to encode different dimension of information brought by the arguments in the corpus; Cheng et. al.…”
Section: Argumentation Miningmentioning
confidence: 99%
“…al. [32] compare content-and style-oriented classifiers on editorials from the liberal NYTimes with ideology-specific effect annotations to explore the effect of writing style of editorials to audience of different parties; Ji et al [6] propose the task of identifying interactive argument pairs in online debate forum such as ChangeMyView (CMV), along with a novel representation learning method called Discrete Variational Encoder (DVAE) to encode different dimension of information brought by the arguments in the corpus; Cheng et. al.…”
Section: Argumentation Miningmentioning
confidence: 99%
“…Several corpora and approaches were proposed for specific argument quality dimensions, first related to essay scoring (Persing and Ng, 2015), some of which modeling arguments explicitly (Wachsmuth et al, 2016). Later approaches targeted arguments from debate portals (Wei et al, 2016), student essays (Stab and Gurevych, 2017), mixed web texts (Wachsmuth et al, 2017c), and news editorials (Yang et al, 2019;El Baff et al, 2020). We use the corpus of Wachsmuth et al (2017b), as it is the only one annotated for diverse dimensions and is claimed to reflect argument quality comprehensively.…”
Section: Related Workmentioning
confidence: 99%
“…Editorials across different publishers consist of a majority of assumptions (claims), while they employ evidence supporting strategies differently. This corpus has been used to analyze persuasion in editorials (El Baff et al, 2020), and to study patterns of argumentative strategies across topics (Al Khatib et al, 2017). We hypothesize that predicting argumentative strategies of newspaper articles is also useful in predicting the overall type of the article to be news or opinion.…”
Section: Related Workmentioning
confidence: 99%