Analyzing Persuasion Strategies of Debaters on Social Media
Matti Wiegmann, Khalid Al Khatib, Vishal Khanna, Benno Stein
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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.- 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
- Editors:
- Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na
- 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)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.coling-1.600.pdf
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@inproceedings{wiegmann-etal-2022-analyzing, title = "Analyzing Persuasion Strategies of Debaters on Social Media", author = "Wiegmann, Matti and Al Khatib, Khalid and Khanna, Vishal and Stein, Benno", editor = "Calzolari, Nicoletta and Huang, Chu-Ren and Kim, Hansaem and Pustejovsky, James and Wanner, Leo and Choi, Key-Sun and Ryu, Pum-Mo and Chen, Hsin-Hsi and Donatelli, Lucia and Ji, Heng and Kurohashi, Sadao and Paggio, Patrizia and Xue, Nianwen and Kim, Seokhwan and Hahm, Younggyun and He, Zhong and Lee, Tony Kyungil and Santus, Enrico and Bond, Francis and Na, Seung-Hoon", booktitle = "Proceedings of the 29th International Conference on Computational Linguistics", month = oct, year = "2022", address = "Gyeongju, Republic of Korea", publisher = "International Committee on Computational Linguistics", url = "https://aclanthology.org/2022.coling-1.600/", pages = "6897--6905", 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: {\textquotedblleft}ChangeMyView{\textquotedblright} 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." }
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%0 Conference Proceedings %T Analyzing Persuasion Strategies of Debaters on Social Media %A Wiegmann, Matti %A Al Khatib, Khalid %A Khanna, Vishal %A Stein, Benno %Y Calzolari, Nicoletta %Y Huang, Chu-Ren %Y Kim, Hansaem %Y Pustejovsky, James %Y Wanner, Leo %Y Choi, Key-Sun %Y Ryu, Pum-Mo %Y Chen, Hsin-Hsi %Y Donatelli, Lucia %Y Ji, Heng %Y Kurohashi, Sadao %Y Paggio, Patrizia %Y Xue, Nianwen %Y Kim, Seokhwan %Y Hahm, Younggyun %Y He, Zhong %Y Lee, Tony Kyungil %Y Santus, Enrico %Y Bond, Francis %Y Na, Seung-Hoon %S Proceedings of the 29th International Conference on Computational Linguistics %D 2022 %8 October %I International Committee on Computational Linguistics %C Gyeongju, Republic of Korea %F wiegmann-etal-2022-analyzing %X 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. %U https://aclanthology.org/2022.coling-1.600/ %P 6897-6905
Markdown (Informal)
[Analyzing Persuasion Strategies of Debaters on Social Media](https://aclanthology.org/2022.coling-1.600/) (Wiegmann et al., COLING 2022)
- Analyzing Persuasion Strategies of Debaters on Social Media (Wiegmann et al., COLING 2022)
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.