Emotional Labor Strategy Preferences in LLM Personas

arXiv:2609.00310 · cs.CL · Submitted 2026-08-31 · Read on arXiv

cs.CL

Submitted: 2026-08-31

Updated: 2026-08-31

Comments: 18 pages, 4 figures, 12 tables. Findings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026)

Code: https://github.com/cincynlp/emotion-labor

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

Terminology

• Deep Acting — 20× in this paper
• Surface Acting — 18× in this paper
• Emotional Stability — 15× in this paper
• Consistency — 3× in this paper · explained in 3 episodes
• Personalization — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Archetype — 2× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Steering — 2× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Linear Probing — 1× in this paper · explained in 2 episodes
• Sycophancy — 1× in this paper · explained in 4 episodes

Sources

• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• Linear Personality Probing and Steering in LLMs: A Big Five Study
• Large Language Models Can Infer Psychological Dispositions of Social Media Users
• Sycophancy Is Not One Thing: Causal Separation of Sycophantic Behaviors in LLMs
• Ethical and social risks of harm from Language Models
• Qwen3 Technical Report

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