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相关论文: Exploring the Role of Prior Beliefs for Argument P…

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Opinion formation and persuasion in argumentation are affected by three major factors: the argument itself, the source of the argument, and the properties of the audience. Understanding the role of each and the interplay between them is…

计算与语言 · 计算机科学 2021-10-05 Esin Durmus

In our world with full of uncertainty, debates and argumentation contribute to the progress of science and society. Despite of the increasing attention to characterize human arguments, most progress made so far focus on the debate outcome,…

计算与语言 · 计算机科学 2020-02-11 Jichuan Zeng , Jing Li , Yulan He , Cuiyun Gao , Michael R. Lyu , Irwin King

Changing someone's opinion is arguably one of the most important challenges of social interaction. The underlying process proves difficult to study: it is hard to know how someone's opinions are formed and whether and how someone's views…

社会与信息网络 · 计算机科学 2016-02-09 Chenhao Tan , Vlad Niculae , Cristian Danescu-Niculescu-Mizil , Lillian Lee

Americans spend about a third of their time online, with many participating in online conversations on social and political issues. We hypothesize that social media arguments on such issues may be more engaging and persuasive than…

计算与语言 · 计算机科学 2017-08-31 Stephanie M. Lukin , Pranav Anand , Marilyn Walker , Steve Whittaker

Beliefs shape how people reason, communicate, and behave. Rather than existing in isolation, they exhibit a rich correlational structure--some connected through logical dependencies, others through indirect associations or social processes.…

计算与语言 · 计算机科学 2026-02-02 Joseph Malone , Rachith Aiyappa , Byunghwee Lee , Haewoon Kwak , Jisun An , Yong-Yeol Ahn

Research in the social sciences and psychology has shown that the persuasiveness of an argument depends not only the language employed, but also on attributes of the source/communicator, the audience, and the appropriateness and strength of…

计算与语言 · 计算机科学 2020-04-08 Esin Durmus , Faisal Ladhak , Claire Cardie

The core premise of AI debate as a scalable oversight technique is that it is harder to lie convincingly than to refute a lie, enabling the judge to identify the correct position. Yet, existing debate experiments have relied on datasets…

Emotions have been shown to play a role in argument convincingness, yet this aspect is underexplored in the natural language processing (NLP) community. Unlike prior studies that use static analyses, focus on a single text domain or…

计算与语言 · 计算机科学 2025-07-22 Yanran Chen , Steffen Eger

Online debate forums provide users a platform to express their opinions on controversial topics while being exposed to opinions from diverse set of viewpoints. Existing work in Natural Language Processing (NLP) has shown that linguistic…

计算与语言 · 计算机科学 2020-10-08 Jialu Li , Esin Durmus , Claire Cardie

Philosophical accounts of persuasion often assume that shared evidence and rational argumentation should lead to a convergence of views between peers, yet everyday discourse often suggests otherwise. In this study, we use large language…

计算与语言 · 计算机科学 2026-05-12 David Freeborn , Malihe Alikani , Anthony Sicilia

Detecting persuasion in argumentative text is a challenging task with important implications for understanding human communication. This work investigates the role of persuasion strategies - such as Attack on reputation, Distraction, and…

计算与语言 · 计算机科学 2026-01-16 Tiziano Labruna , Arkadiusz Modzelewski , Giorgio Satta , Giovanni Da San Martino

As the adoption of language models advances, so does the need to better represent individual users to the model. Are there aspects of an individual's belief system that a language model can utilize for improved alignment? Following prior…

计算与语言 · 计算机科学 2025-10-02 Rik Koncel-Kedziorski , Brihi Joshi , Tim Paek

A myriad of explainability methods have been proposed in recent years, but there is little consensus on how to evaluate them. While automatic metrics allow for quick benchmarking, it isn't clear how such metrics reflect human interaction…

计算与语言 · 计算机科学 2021-06-30 Ana Valeria Gonzalez , Anna Rogers , Anders Søgaard

An audience's prior beliefs and morals are strong indicators of how likely they will be affected by a given argument. Utilizing such knowledge can help focus on shared values to bring disagreeing parties towards agreement. In argumentation…

计算与语言 · 计算机科学 2022-03-29 Milad Alshomary , Roxanne El Baff , Timon Gurcke , Henning Wachsmuth

As multi-agent systems are increasingly utilized for reasoning and decision-making applications, there is a greater need for LLM-based agents to have something resembling propositional beliefs. One simple method for doing so is to include…

人工智能 · 计算机科学 2025-12-09 Onur Bilgin , Abdullah As Sami , Sriram Sai Vujjini , John Licato

Social bias in language - towards genders, ethnicities, ages, and other social groups - poses a problem with ethical impact for many NLP applications. Recent research has shown that machine learning models trained on respective data may not…

计算与语言 · 计算机科学 2020-11-25 Maximilian Spliethöver , Henning Wachsmuth

The increasing integration of large language models (LLMs) based conversational agents into everyday life raises critical cognitive and social questions about their potential to influence human opinions. Although previous studies have shown…

计算与语言 · 计算机科学 2025-05-14 Miriam Havin , Timna Wharton Kleinman , Moran Koren , Yaniv Dover , Ariel Goldstein

Town hall-type debates are increasingly moving online, irrevocably transforming public discourse. Yet, we know relatively little about crucial social dynamics that determine which arguments are more likely to be successful. This study…

社会与信息网络 · 计算机科学 2023-06-26 Henry K. Dambanemuya , Daniel Romero , Emőke-Ágnes Horvát

Persuasion is an important and yet complex aspect of human intelligence. When undertaken through dialogue, the deployment of good arguments, and therefore counterarguments, clearly has a significant effect on the ability to be successful in…

人工智能 · 计算机科学 2021-01-29 Emmanuel Hadoux , Anthony Hunter , Sylwia Polberg

The increasing capability of Large Language Models to act as human-like social agents raises two important questions in the area of opinion dynamics. First, whether these agents can generate effective arguments that could be injected into…

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