Revealing and Predicting Online Persuasion Strategy with Elementary Units (D19-1)
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| Challenge: | Existing studies have examined persuasive discourses with regard to dynamics or lexical features. |
| Approach: | They propose to annotate five types of EUs in a persuasive forum and propose a baseline neural model that identifies the EU boundary and type. |
| Outcome: | The proposed model reveals that EUs definitively characterize online persuasive strategies. |
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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. |
Detecting Winning Arguments with Large Language Models and Persuasion Strategies (2026.findings-eacl)
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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 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. |
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Corpus for Modeling User Interactions in Online Persuasive Discussions (2020.lrec-1)
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| Challenge: | Several studies have focused on the identification and classification of argumentative components and the argumentative relations between the components. |
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| Challenge: | Existing models can't quantify persuasiveness of requests or extract successful persuasive strategies. |
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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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| 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. |
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| Challenge: | Persuasive dialog systems have various usages, such as donation persuation and physical exercise persulasion. |
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MA2P: A Meta-Cognitive Autonomous Intelligent Agents Framework for Complex Persuasion (2026.findings-acl)
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| Challenge: | Existing approaches to persuasion generate generic or weakly grounded responses even when such cues are identified. |
| Approach: | They propose a meta-cognitive autonomous intelligent agent framework for complex persuasion that coordinates perception management, mental-state inference, strategy execution, memory maintenance, and performance evaluation. |
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PVP: An Image Dataset for Personalized Visual Persuasion with Persuasion Strategies, Viewer Characteristics, and Persuasiveness Ratings (2025.acl-long)
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| Challenge: | Visual persuasion uses visual elements to influence cognition and behaviors . lack of comprehensive data sets connect persuasiveness of images with personal information . |
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