Revising Context, Shifting Simulated Stance: Auditing LLM-Based Stance Simulation in Online Discussions

arXiv:2606.06443 · cs.CL, cs.MM, cs.SI · Submitted 2026-06-04 · Read on arXiv

cs.CL, cs.MM, cs.SI

Submitted: 2026-06-04

Updated: 2026-08-31

Comments: Accepted for publication in the Findings of EMNLP 2026

Code: https://github.com/STARResearchLab/StanceShift

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Robustness — 8× in this paper · explained in 5 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• BERTopic: Neural topic modeling with a class-based TF-IDF procedure
• Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
• Can LLMs Simulate Social Media Engagement? A Study on Action-Guided Response Generation
• SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users
• ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agents

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