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Previous work has showcased the intriguing capabilities of Large Language Models (LLMs) in instruction-following and rhetorical fluency. However, systematic exploration of their dual capabilities to autonomously persuade and resist…

Computation and Language · Computer Science 2025-06-10 Tianjie Ju , Yujia Chen , Hao Fei , Mong-Li Lee , Wynne Hsu , Pengzhou Cheng , Zongru Wu , Zhuosheng Zhang , Gongshen Liu

The rapid rise of Large Language Models (LLMs) has created new disruptive possibilities for persuasive communication, enabling fully-automated, personalized, and interactive content generation at an unprecedented scale. In this paper, we…

Computation and Language · Computer Science 2026-04-22 Sander Noels , Alexander Rogiers , Maarten Buyl , Tijl De Bie

Warning: This research studies AI persuasion and bias amplification that could be misused; all experiments are for safety evaluation. Large Language Models (LLMs) now generate convincing, human-like text and are widely used in content…

Computation and Language · Computer Science 2025-08-25 Saumya Roy

Large Language Models (LLMs) are already as persuasive as humans. However, we know very little about how they do it. This paper investigates the persuasion strategies of LLMs, comparing them with human-generated arguments. Using a dataset…

Computation and Language · Computer Science 2024-04-23 Carlos Carrasco-Farre

Large Language Models (LLMs) have emerged as formidable instruments capable of comprehending and producing human-like text. This paper explores the potential of LLMs, to shape user perspectives and subsequently influence their decisions on…

Artificial Intelligence · Computer Science 2024-09-04 Ganesh Prasath Ramani , Shirish Karande , Santhosh V , Yash Bhatia

The development and popularization of large language models (LLMs) have raised concerns that they will be used to create tailor-made, convincing arguments to push false or misleading narratives online. Early work has found that language…

Computers and Society · Computer Science 2025-05-21 Francesco Salvi , Manoel Horta Ribeiro , Riccardo Gallotti , Robert West

Large Language Models (LLMs) have started to demonstrate the ability to persuade humans, yet our understanding of how this dynamic transpires is limited. Recent work has used linear probes, lightweight tools for analyzing model…

Computation and Language · Computer Science 2025-08-08 Brandon Jaipersaud , David Krueger , Ekdeep Singh Lubana

Large Language Models (LLMs) are becoming increasingly persuasive, demonstrating the ability to personalize arguments in conversation with humans by leveraging their personal data. This may have serious impacts on the scale and…

Computation and Language · Computer Science 2025-01-30 Jasper Timm , Chetan Talele , Jacob Haimes

Large Language Models (LLMs) are increasingly regarded as having the potential to generate persuasive content at scale. While previous studies have focused on the risks associated with LLM-generated misinformation, the role of LLMs in…

Computers and Society · Computer Science 2026-04-06 John Caffier , Olga Stavrova , Bennett Kleinberg

LLMs are increasingly being used in workflows involving generating content to be consumed by humans (e.g., marketing) and also in directly interacting with humans (e.g., through chatbots). The development of such systems that are capable of…

Computation and Language · Computer Science 2024-10-08 Somesh Singh , Yaman K Singla , Harini SI , Balaji Krishnamurthy

Large language models (LLMs) are increasingly used for persuasion, such as in political communication and marketing, where they affect how people think, choose, and act. Yet, empirical findings on the effectiveness of LLMs in persuasion…

Human-Computer Interaction · Computer Science 2025-12-02 Lukas Hölbling , Sebastian Maier , Stefan Feuerriegel

Large language models (LLMs) are excellent at maintaining high-level, convincing dialogue, but it remains unclear whether their persuasive success reflects genuine understanding of the discourse. We examine this question through informal…

Computation and Language · Computer Science 2026-04-21 Adrian de Wynter , Tangming Yuan

A growing body of work attempts to evaluate the theory of mind (ToM) abilities of humans and large language models (LLMs) using static, non-interactive question-and-answer benchmarks. However, theoretical work in the field suggests that…

Computation and Language · Computer Science 2026-02-20 Jared Moore , Rasmus Overmark , Ned Cooper , Beba Cibralic , Nick Haber , Cameron R. Jones

While natural-language explanations from large language models (LLMs) are widely adopted to improve transparency and trust, their impact on objective human-AI team performance remains poorly understood. We identify a Persuasion Paradox:…

Human-Computer Interaction · Computer Science 2026-04-07 Ruth Cohen , Lu Feng , Ayala Bloch , Sarit Kraus

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…

Computation and Language · Computer Science 2025-05-14 Miriam Havin , Timna Wharton Kleinman , Moran Koren , Yaniv Dover , Ariel Goldstein

Large Language Models (LLMs) are effective at deceiving, when prompted to do so. But under what conditions do they deceive spontaneously? Models that demonstrate better performance on reasoning tasks are also better at prompted deception.…

Computation and Language · Computer Science 2025-04-02 Samuel M. Taylor , Benjamin K. Bergen

Large language models (LLMs) have demonstrated strong persuasive capabilities comparable to those of humans, offering promising benefits while raising societal concerns. However, systematically evaluating the persuasive capabilities of LLMs…

Artificial Intelligence · Computer Science 2026-03-10 Zirui Cheng , Jiaxuan You

Large language models (LLMs) are increasingly used for everyday communication tasks, including drafting interpersonal messages intended to influence and persuade. Prior work has shown that LLMs can successfully persuade humans and amplify…

Computation and Language · Computer Science 2026-01-12 Amalie Brogaard Pauli , Maria Barrett , Max Müller-Eberstein , Isabelle Augenstein , Ira Assent

The capabilities of large language models (LLMs) have raised concerns about their potential to create and propagate convincing narratives. Here, we study their performance in detecting convincing arguments to gain insights into LLMs'…

Computation and Language · Computer Science 2024-10-07 Paula Rescala , Manoel Horta Ribeiro , Tiancheng Hu , Robert West

Large language models (LLMs) have the potential to aid and improve human decision-making in classification tasks, not only by providing fairly accurate predictions, but also in their ability to generate cogent narrative explanations of…

Human-Computer Interaction · Computer Science 2026-05-25 Laura R. Marusich , Mary Grace Kozuch Dhooghe , Jonathan Z. Bakdash , Murat Kantarcioglu
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