arXiv AI August 3, 2026 By Ningzhi Liu, Yannic Hinrichs, Jonas R. Kunst

The persuasive power of large language models does not depend on their perceived national origin

arXiv:2607. 29334v1 Announce Type: cross Abstract: Conversational AI developed by geopolitical rivals reaches citizens worldwide, raising concerns that it could sway public opinion or be rejected as foreign propaganda, with consequences for democratic discourse and information sovereignty.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv AI

Jun 6

How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment

arXiv:2606. 05256v1 Announce Type: new Abstract: This study analyzes a publicly released dataset from a discontinued field experiment on Reddit's r/ChangeMyView.

By Kokil Jaidka, Saifuddin Ahmed

llms agents safety

arXiv Computation and Language

Sep 1

Do LLMs Change Their Minds Like Humans? Diagnosing Human--LLM Divergence in Single-Turn Persuasion Judgments

arXiv:2608.29803v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as proxies for human participants in social simulations, yet whether they update their beliefs...

By Lin Chen, Yitong Chen, Yong Li

llms

arXiv AI

Jun 11

"That's AI Slop, You Bot!" Studying Accusations, Evidence, and Credibility in Online Discourse Towards LLM-Generated Comments

arXiv:2606. 12073v1 Announce Type: cross Abstract: Generative AI has made fluent prose cheap to produce, breaking the old promise to readers that good writing meant real thinking.

By Jason Miklian, John E. Katsos

llms

arXiv Computation and Language

Sep 22

Auditing Political Alignment in LLM Assistants: Engagement, Stance, and User Identity

arXiv:2609.23039v1 Announce Type: new Abstract: LLM-based AI systems answer political questions for hundreds of millions of people. Current audits measure what they say to an average user, but their...

By Joan C. Timoneda

llms safety

arXiv AI

Jun 9

"I understand your perspective": LLM Persuasion and Sycophancy through the Lens of Communicative Action Theory

arXiv:2606. 08076v1 Announce Type: cross Abstract: Large Language Models (LLMs) can generate high-quality arguments, yet their ability to engage in nuanced and persuasive communicative actions remains largely unexplored.

By Esra D\"onmez, Agnieszka Falenska

llms

arXiv AI

Jul 22

"I understand your perspective": LLM Persuasion through the Lens of Communicative Action Theory

arXiv:2606. 08076v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) can generate high-quality arguments, yet their ability to engage in nuanced and persuasive communicative actions remains largely unexplored.

By Esra D\"onmez, Agnieszka Falenska

llms

One email a morning, machine-written

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How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment

Do LLMs Change Their Minds Like Humans? Diagnosing Human--LLM Divergence in Single-Turn Persuasion Judgments

"That's AI Slop, You Bot!" Studying Accusations, Evidence, and Credibility in Online Discourse Towards LLM-Generated Comments

Auditing Political Alignment in LLM Assistants: Engagement, Stance, and User Identity

"I understand your perspective": LLM Persuasion and Sycophancy through the Lens of Communicative Action Theory

"I understand your perspective": LLM Persuasion through the Lens of Communicative Action Theory