Cover Image

Gravity Well Echo Chamber Modeling With An LLM-Based Confirmation Bias Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jackson, Joseph, Lapin, Georgiy, Thompson, Jeremy E.
Format:	Preprint
Published:	2025
Subjects:	Social and Information Networks Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Public Square to Echo Chamber: The Fragmentation of Online Discourse
by: Pratap, Abhinav, et al.
Published: (2025)

Brexit Means Brexit: Selection Bias, Echo Chambers, and Entrenched Opinion on Reddit
by: Rizoiu, Marian-Andrei, et al.
Published: (2026)

Echo Chambers in the Age of Algorithms: An Audit of Twitter's Friend Recommender System
by: Duskin, Kayla, et al.
Published: (2024)

Large Language Model Driven Agents for Simulating Echo Chamber Formation
by: Gu, Chenhao, et al.
Published: (2025)

Social Influence and Unfollowing Accelerate the Emergence of Echo Chambers
by: Sasahara, Kazutoshi, et al.
Published: (2019)

Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis
by: Jenny, David F., et al.
Published: (2023)

Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation
by: Pagan, Nicolò, et al.
Published: (2026)

Revealing Political Bias in LLMs through Structured Multi-Agent Debate
by: Bandaru, Aishwarya, et al.
Published: (2025)

Whose Name Comes Up? Benchmarking and Intervention-Based Auditing of LLM-Based Scholar Recommendation
by: Espin-Noboa, Lisette, et al.
Published: (2026)

When the Echo Chamber Shatters: Examining the Use of Community-Specific Language Post-Subreddit Ban
by: Trujillo, Milo Z., et al.
Published: (2021)

Gender Dynamics and Homophily in a Social Network of LLM Agents
by: Fadaei, Faezeh, et al.
Published: (2026)

Hedging and Non-Affirmation: Quantifying LLM Alignment on Questions of Human Rights
by: Javed, Rafiya, et al.
Published: (2025)

LLM Echo Chamber: personalized and automated disinformation
by: Ma, Tony
Published: (2024)

Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models
by: Palla, Konstantina, et al.
Published: (2025)

Extending the Hegselmann-Krause Model of Opinion Dynamics to include AI Oracles
by: Rodrigo, Allen G.
Published: (2025)

Advancing Opinion Dynamics Modeling with Neural Diffusion-Convection-Reaction Equation
by: Gong, Chenghua, et al.
Published: (2026)

Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences?
by: Ouyang, Leyi
Published: (2025)

Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflow
by: del Rio-Chanona, Maria, et al.
Published: (2023)

ClarityEthic: Explainable Moral Judgment Utilizing Contrastive Ethical Insights from Large Language Models
by: Sun, Yuxi, et al.
Published: (2024)

Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System
by: Roantree, Mark, et al.
Published: (2024)

Intelligent Anti-Money Laundering Solution Based upon Novel Community Detection in Massive Transaction Networks on Spark
by: Li, Xurui, et al.
Published: (2025)

LLM Generated Persona is a Promise with a Catch
by: Li, Ang, et al.
Published: (2025)

The complementary contributions of academia and industry to AI research
by: Liang, Lizhen, et al.
Published: (2024)

Beyond Individual Influence: The Role of Echo Chambers and Community Seeding in the Multilayer three state q-Voter Model
by: Hołowacz, Igor, et al.
Published: (2026)

Attention is all they need: Cognitive science and the (techno)political economy of attention in humans and machines
by: de la Torre, Pablo González, et al.
Published: (2024)

Embracing Dialectic Intersubjectivity: Coordination of Different Perspectives in Content Analysis with LLM Persona Simulation
by: Kang, Taewoo, et al.
Published: (2025)

A Systematic Review of Echo Chamber Research: Comparative Analysis of Conceptualizations, Operationalizations, and Varying Outcomes
by: Hartmann, David, et al.
Published: (2024)

Evaluating LLM Behavior in Hiring: Implicit Weights, Fairness Across Groups, and Alignment with Human Preferences
by: Hoffmann, Morgane, et al.
Published: (2026)

Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms
by: Oak, Rajvardhan, et al.
Published: (2025)

How Large Language Models play humans in online conversations: a simulated study of the 2016 US politics on Reddit
by: Cirulli, Daniele, et al.
Published: (2025)

Network Effects and Agreement Drift in LLM Debates
by: Cau, Erica, et al.
Published: (2026)

Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models
by: Bonagiri, Akash, et al.
Published: (2025)

Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance
by: Chang, Chen-Wei, et al.
Published: (2024)

Endowing Pre-trained Graph Models with Provable Fairness
by: Zhang, Zhongjian, et al.
Published: (2024)

Leveraging Large Language Models for Enhancing Public Transit Services
by: Wang, Jiahao, et al.
Published: (2024)

How Similar Are Grokipedia and Wikipedia? A Multi-Dimensional Textual and Structural Comparison
by: Yasseri, Taha, et al.
Published: (2025)

Leveraging the Power of AI and Social Interactions to Restore Trust in Public Polls
by: Abouelmagd, Amr Akmal, et al.
Published: (2025)

Privacy-Preserving Synthetic Dataset of Individual Daily Trajectories for City-Scale Mobility Analytics
by: Ozaki, Jun'ichi, et al.
Published: (2025)

Supervision policies can shape long-term risk management in general-purpose AI models
by: Cebrian, Manuel, et al.
Published: (2025)

Analyzing Patterns and Influence of Advertising in Print Newspapers
by: Vardhan, N Harsha, et al.
Published: (2025)