Zero-shot narrative detection in social messaging

arXiv:2609.17310 · cs.CL · Submitted 2026-09-15 · Read on arXiv

cs.CL

Submitted: 2026-09-15

Updated: 2026-09-16

Code: https://github.com/JesusFraile/Zero_shot_narrative_

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

Terminology

• F1 Score — 15× in this paper · explained in 3 episodes
• Robustness — 14× in this paper · explained in 5 episodes
• Accuracy — 13× in this paper · explained in 1 episode
• Alignment — 6× in this paper · explained in 1 episode
• Cooperation — 6× in this paper · explained in 2 episodes
• Core — 5× in this paper · explained in 2 episodes
• Actor — 4× in this paper · explained in 3 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Annotator Agreement — 2× in this paper · explained in 1 episode
• Interpretability — 2× in this paper · explained in 15 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Agent Architectures — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cross-lingual Transfer — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Semantic Drift — 1× in this paper · explained in 3 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Standardized Benchmarks — 1× in this paper · explained in 2 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Mapping News Narratives Using LLMs and Narrative-Structured Text Embeddings
• UKElectionNarratives: A Dataset of Misleading Narratives Surrounding Recent UK General Elections
• GPT-4 Technical Report
• GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative Classification
• LoRA: Low-Rank Adaptation of Large Language Models
• Qwen2.5 Technical Report
• Gemma 3 Technical Report
• EXAONE 3.5: Series of Large Language Models for Real-world Use Cases
• The Llama 3 Herd of Models
• Mixtral of Experts
• Zephyr: Direct Distillation of LM Alignment

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