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.

Similar Papers

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.
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.
Approach: They propose an annotation scheme and corpus that captures user-generated inner-post arguments and inter-post relations between users in ChangeMyView.
Outcome: The proposed annotation scheme captures user-generated inner-post arguments and inter-post relations in ChangeMyView, a persuasive forum.
Exploring the Role of Argument Structure in Online Debate Persuasion (2020.emnlp-main)

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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.
Outcome: The proposed model incorporates argument structure features to predict debaters that make the most convincing arguments on online debate forums.
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.
Outcome: The proposed approach leverages large language models with a chain-of-thought framework that guides reasoning over six persuasion strategies.
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.
Approach: They propose a framework for identifying topical components of persuasive arguments that are autopersuade.
Outcome: The proposed framework validates the results through human studies and out-of-sample predictions.
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.
Approach: They extend a semantic argumentation unit type model by clustering type sequences into different argument arrangement patterns and representing discussions as sequences of these patterns.
Outcome: The proposed model outperforms existing classifiers on the change my view forum discussion data.
Analyzing Persuasion Strategies of Debaters on Social Media (2022.coling-1)

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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.
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 .
Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays (P18-1)

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Challenge: Existing work on automated essay scoring has focused on holistic scoring, which summarizes the quality of an essay with a single score.
Approach: They present a corpus of essays simultaneously annotated with argument components, argument persuasiveness scores, and attributes of argument components that impact an argument’s persuasiveness.
Outcome: The proposed corpus could trigger the development of novel computational models that provide useful feedback to students on why their arguments are (un)persuasive .
Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection (2025.findings-acl)

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Challenge: Existing annotation campaigns based on heuristic guidelines have not been thoroughly discussed.
Approach: They propose a probabilistic model for optimizing intervention scheduling to reduce the cost of an expert oversight in annotation tasks.
Outcome: The proposed model advocates for an expert oversight in annotation tasks and periodic quality audits to reduce costs.
Leveraging Topic Relatedness for Argument Persuasion (2021.findings-acl)

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Challenge: Existing studies of argumentation focus on the effects of factors such as source, audience, and language style, but the impact of exploiting the relationships among controversial topics is under-explored.
Approach: They propose to model topic relatedness among controversial topics using topic embedding features and topic semantics features extracted from the arguments.
Outcome: The proposed method improves predicting persuasiveness and generalizes to rare topics in a few-shot setting.

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