Analyzing Persuasion Strategies of Debaters on Social Media

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


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.
Anthology ID:
2022.coling-1.600
Volume:
Proceedings of the 29th International Conference on Computational Linguistics
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
6897–6905
Language:
URL:
https://aclanthology.org/2022.coling-1.600
DOI:
Bibkey:
Cite (ACL):
Matti Wiegmann, Khalid Al Khatib, Vishal Khanna, and Benno Stein. 2022. Analyzing Persuasion Strategies of Debaters on Social Media. In Proceedings of the 29th International Conference on Computational Linguistics, pages 6897–6905, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Cite (Informal):
Analyzing Persuasion Strategies of Debaters on Social Media (Wiegmann et al., COLING 2022)
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PDF:
https://preview.aclanthology.org/remove-xml-comments/2022.coling-1.600.pdf