| Challenge: | Existing studies on the analysis of persuasion in online discussions focus on the effectiveness of comments in individual discussions and ignore the effectiveness analysis of debaters over multiple discussions. |
| Approach: | They propose to quantify debaters effectiveness in the online discussion platform "ChangeMyView" they aim to explore diverse insights into their persuasion strategies . |
| Outcome: | The proposed analysis of debater effectiveness in the ChangeMyView subreddit reveals that debaters have different levels of effectiveness, behavioral characteristics and text stylistic features . |
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| Challenge: | Existing work in NLP has shown that linguistic features extracted from debate text and features encoding the characteristics of the audience are both critical in persuasion studies. |
| Approach: | They propose to incorporate argument structure features into an LSTM-based model to assess the persuasiveness of debates. |
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| Challenge: | Existing studies have examined persuasive discourses with regard to dynamics or lexical features. |
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| Challenge: | Recent studies have focused on predicting winning arguments, i.e., those that effectively convince a reader to adopt a certain opinion. |
| Approach: | They propose to use large language models with a chain-of-thought framework to guide reasoning over six persuasion strategies to determine persuasiveness. |
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| Challenge: | Existing studies on the features of persuasiveness focus on lexical features and argumentative features. |
| Approach: | They propose an annotation scheme that captures the semantic role of arguments in a popular online persuasion forum, ChangeMyView. |
| Outcome: | The proposed scheme captures the semantic role of arguments in a popular online persuasion forum, so-called ChangeMyView. |
Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness (2020.acl-main)
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| Challenge: | Several studies have examined persuasiveness in debates by probing the main factors for establishing persuasion, particularly regarding the role of linguistic features of debaters' arguments. |
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| Challenge: | Existing argumentation datasets have allowed only limited assessment of "user" traits because information on background of users is generally unavailable. |
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Does Social Pressure Drive Persuasion in Online Fora? (2021.emnlp-main)
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| Challenge: | Using social features, we hypothesize that comments from the ambient community can either affirm the original view or implicitly exert pressure to change it. |
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Unveiling the Power of Argument Arrangement in Online Persuasive Discussions (2023.findings-emnlp)
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| Challenge: | a recent study shows that the CMV is the best time period in human history for the vast majority of people. |
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Self-reported Demographics and Discourse Dynamics in a Persuasive Online Forum (2024.lrec-main)
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| Challenge: | Research on language as interactive discourse demonstrates the deliberate use of demographic parameters such as gender, ethnicity, and class to shape social identities. |
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AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments (2024.emnlp-main)
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| Challenge: | Existing tools for persuasion are well-equipped to identify which of a pre-existing set of messages is most persuasive, but they do not offer causal evidence on whether or how they have succeeded. |
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