What Do AI Agents Talk About? Discourse and Architectural Constraints in the First AI-Only Social Network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dube, Taksch, Zhu, Jianfeng, Phan, NHatHai, Jin, Ruoming
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Understanding Risk and Dependency in AI Chatbot Use from User Discourse
by: Zhu, Jianfeng, et al.
Published: (2026)

AI-Powered Early Diagnosis of Mental Health Disorders from Real-World Clinical Conversations
by: Zhu, Jianfeng, et al.
Published: (2025)

Investigating Large Language Models in Inferring Personality Traits from User Conversations
by: Zhu, Jianfeng, et al.
Published: (2025)

Can LLMs Infer Personality from Real World Conversations?
by: Zhu, Jianfeng, et al.
Published: (2025)

What We Talk About When We Talk About LMs: Implicit Paradigm Shifts and the Ship of Language Models
by: Zhu, Shengqi, et al.
Published: (2024)

When Symptoms Are Not Enough: Evidence-Weighting Patterns in Large Language Model Psychiatric Screening
by: Zhu, Jianfeng, et al.
Published: (2026)

What Are They Talking About? A Benchmark of Knowledge-Grounded Discussion Summarization
by: Zhou, Weixiao, et al.
Published: (2025)

What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
by: Noels, Sander, et al.
Published: (2025)

Robust LLM Watermarking with Minimal Semantic Distortion for IP Protection
by: Dang, Kieu, et al.
Published: (2026)

Evaluating LLM Alignment on Personality Inference from Real-World Interview Data
by: Zhu, Jianfeng, et al.
Published: (2025)

Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation
by: Li, Zhuohang, et al.
Published: (2024)

Emotions, Context, and Substance Use in Adolescents: A Large Language Model Analysis of Reddit Posts
by: Zhu, Jianfeng, et al.
Published: (2025)

MimiTalk: Revolutionizing Qualitative Research with Dual-Agent AI
by: Liu, Fengming, et al.
Published: (2025)

SoK: Are Watermarks in LLMs Ready for Deployment?
by: Dang, Kieu, et al.
Published: (2025)

What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations
by: Liu, Dongqi, et al.
Published: (2025)

When Names Disappear: Revealing What LLMs Actually Understand About Code
by: Le, Cuong Chi, et al.
Published: (2025)

Do We Talk to Robots Like Therapists, and Do They Respond Accordingly? Language Alignment in AI Emotional Support
by: Chiang, Sophie, et al.
Published: (2025)

Talking Point based Ideological Discourse Analysis in News Events
by: Nakshatri, Nishanth, et al.
Published: (2025)

Garbage In, Reasoning Out? Why Benchmark Scores are Unreliable and What to Do About It
by: Mousavi, Seyed Mahed, et al.
Published: (2025)

Proof-of-Guardrail in AI Agents and What (Not) to Trust from It
by: Jin, Xisen, et al.
Published: (2026)

Beyond Simulations: What 20,000 Real Conversations Reveal About Mental Health AI Safety
by: Stamatis, Caitlin A., et al.
Published: (2026)

Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics
by: Arora, Siddhant, et al.
Published: (2025)

ConvNLP: Image-based AI Text Detection
by: Jambunathan, Suriya Prakash, et al.
Published: (2024)

ANX: Protocol-First Design for AI Agent Interaction with a Supporting 3EX Decoupled Architecture
by: Mingze, Xu
Published: (2026)

What Media Frames Reveal About Stance: A Dataset and Study about Memes in Climate Change Discourse
by: Zhou, Shijia, et al.
Published: (2025)

First, Do No Harm: AI Supervisor Scaffolds Novice Growth in Counselor Education
by: Xu, Chen, et al.
Published: (2025)

NyayaAI: An AI-Powered Legal Assistant Using Multi-Agent Architecture and Retrieval-Augmented Generation
by: Deepanshu, et al.
Published: (2026)

Can Large Language Models Understand Intermediate Representations in Compilers?
by: Jiang, Hailong, et al.
Published: (2025)

Conformity and Social Impact on AI Agents
by: Bellina, Alessandro, et al.
Published: (2026)

Self-Explanation in Social AI Agents
by: Basappa, Rhea, et al.
Published: (2025)

CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues
by: Sreedhar, Makesh Narsimhan, et al.
Published: (2024)

How Do AI Agents Do Human Work? Comparing AI and Human Workflows Across Diverse Occupations
by: Wang, Zora Zhiruo, et al.
Published: (2025)

What Do Speech Foundation Models Not Learn About Speech?
by: Waheed, Abdul, et al.
Published: (2024)

Social Simulacra in the Wild: AI Agent Communities on Moltbook
by: Goyal, Agam, et al.
Published: (2026)

Sandpiper: Orchestrated AI-Annotation for Educational Discourse at Scale
by: Hedley, Daryl, et al.
Published: (2026)

OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters
by: Chen, Zexin, et al.
Published: (2024)

We Need to Talk About Classification Evaluation Metrics in NLP
by: Vickers, Peter, et al.
Published: (2024)

Questionnaire Responses Do not Capture the Safety of AI Agents
by: Hellrigel-Holderbaum, Max, et al.
Published: (2026)

Unpacking Generative AI in Education: Computational Modeling of Teacher and Student Perspectives in Social Media Discourse
by: DeVito, Paulina, et al.
Published: (2025)

You Only Cache Once: Decoder-Decoder Architectures for Language Models
by: Sun, Yutao, et al.
Published: (2024)