Analyzing Persuasion Strategies of Debaters on Social Media

Matti Wiegmann; Khalid Al Khatib; Vishal Khanna; Benno Stein

Analyzing Persuasion Strategies of Debaters on Social Media

Matti Wiegmann, Khalid Al Khatib, Vishal Khanna, Benno Stein

Computational Linguistics (CL)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Existing studies on the analysis of persuasion in online discussions focus on investigating the effectiveness of comments in discussions and ignore the analysis of the effectiveness of debaters over multiple discussions. In this paper, we propose to quantify debaters effectiveness in the online discussion platform: “ChangeMyView” in order to explore diverse insights into their persuasion strategies. In particular, targeting debaters with different levels of effectiveness (e.g., good vs. bad), various behavioral characteristics (e..g, engagement) and text stylistic features (e.g., used frames) of debaters are carefully examined, leading to several outcomes that can be the backbone of writing assistants and persuasive text generation.

Original language	English
Title of host publication	Proceedings of the 29th International Conference on Computational Linguistics
Publisher	International Committee on Computational Linguistics
Pages	6897–6905
Number of pages	9
Publication status	Published - Oct-2022
Event	29th International Conference on Computational Linguistics - Gyeongju, Korea, Republic of Duration: 12-Oct-2022 → 17-Oct-2022

Conference

Conference	29th International Conference on Computational Linguistics
Abbreviated title	COLING 2022
Country/Territory	Korea, Republic of
City	Gyeongju
Period	12/10/2022 → 17/10/2022

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Analyzing Persuasion Strategies of Debaters on Social MediaFinal publisher's version, 3.68 MBLicence: CC BY

https://aclanthology.org/2022.coling-1.600Licence: CC BY

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Analyzing Persuasion Strategies of Debaters on Social Media
Wiegmann, M. (Contributor), Al Khatib, K. (Contributor), Khanna, V. (Contributor) & Stein, B. (Contributor), ZENODO, 30-Aug-2022
DOI: 10.5281/zenodo.7034173
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Cite this

@inproceedings{a5bac1ce135c48fc815f42cfb46fd5f6,

title = "Analyzing Persuasion Strategies of Debaters on Social Media",

abstract = "Existing studies on the analysis of persuasion in online discussions focus on investigating the effectiveness of comments in discussions and ignore the analysis of the effectiveness of debaters over multiple discussions. In this paper, we propose to quantify debaters effectiveness in the online discussion platform: “ChangeMyView” in order to explore diverse insights into their persuasion strategies. In particular, targeting debaters with different levels of effectiveness (e.g., good vs. bad), various behavioral characteristics (e..g, engagement) and text stylistic features (e.g., used frames) of debaters are carefully examined, leading to several outcomes that can be the backbone of writing assistants and persuasive text generation.",

author = "Matti Wiegmann and {Al Khatib}, Khalid and Vishal Khanna and Benno Stein",

year = "2022",

month = oct,

language = "English",

pages = "6897–6905",

booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",

publisher = "International Committee on Computational Linguistics",

note = "29th International Conference on Computational Linguistics, COLING 2022 ; Conference date: 12-10-2022 Through 17-10-2022",

}

Wiegmann, M, Al Khatib, K, Khanna, V & Stein, B 2022, Analyzing Persuasion Strategies of Debaters on Social Media. in Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics, pp. 6897–6905, 29th International Conference on Computational Linguistics, Gyeongju, Korea, Republic of, 12/10/2022. <https://aclanthology.org/2022.coling-1.600>

Analyzing Persuasion Strategies of Debaters on Social Media. / Wiegmann, Matti; Al Khatib, Khalid; Khanna, Vishal et al.
Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics, 2022. p. 6897–6905.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Analyzing Persuasion Strategies of Debaters on Social Media

AU - Wiegmann, Matti

AU - Al Khatib, Khalid

AU - Khanna, Vishal

AU - Stein, Benno

PY - 2022/10

Y1 - 2022/10

N2 - Existing studies on the analysis of persuasion in online discussions focus on investigating the effectiveness of comments in discussions and ignore the analysis of the effectiveness of debaters over multiple discussions. In this paper, we propose to quantify debaters effectiveness in the online discussion platform: “ChangeMyView” in order to explore diverse insights into their persuasion strategies. In particular, targeting debaters with different levels of effectiveness (e.g., good vs. bad), various behavioral characteristics (e..g, engagement) and text stylistic features (e.g., used frames) of debaters are carefully examined, leading to several outcomes that can be the backbone of writing assistants and persuasive text generation.

AB - Existing studies on the analysis of persuasion in online discussions focus on investigating the effectiveness of comments in discussions and ignore the analysis of the effectiveness of debaters over multiple discussions. In this paper, we propose to quantify debaters effectiveness in the online discussion platform: “ChangeMyView” in order to explore diverse insights into their persuasion strategies. In particular, targeting debaters with different levels of effectiveness (e.g., good vs. bad), various behavioral characteristics (e..g, engagement) and text stylistic features (e.g., used frames) of debaters are carefully examined, leading to several outcomes that can be the backbone of writing assistants and persuasive text generation.

M3 - Conference contribution

SP - 6897

EP - 6905

BT - Proceedings of the 29th International Conference on Computational Linguistics

PB - International Committee on Computational Linguistics

T2 - 29th International Conference on Computational Linguistics

Y2 - 12 October 2022 through 17 October 2022

ER -

Analyzing Persuasion Strategies of Debaters on Social Media

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Analyzing Persuasion Strategies of Debaters on Social Media

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