Can Multimodal Large Language Models Generate and Detect Multimodal Social Media Fake News?

arXiv:2609.35809 · cs.CL, cs.AI · Submitted 2026-09-20 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-20

Updated: 2026-09-20

Code: https://github.com/xiuzhenzhang/Multimodal

Terminology

• Accuracy — 19× in this paper · explained in 1 episode
• Verification — 16× in this paper · explained in 2 episodes
• Alignment — 9× in this paper · explained in 1 episode
• AUC — 7× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Grounding — 5× in this paper · explained in 3 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Benchmarking — 4× in this paper · explained in 3 episodes
• F1 Score — 4× in this paper · explained in 3 episodes
• Multi-Agent Framework — 4× in this paper · explained in 3 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Actor — 2× in this paper · explained in 3 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Area Under the Curve — 1× in this paper
• Area Under the Curve (AUC) — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• GPT-4 Technical Report
• Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
• InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
• Gemma 3 Technical Report
• DeepSeek-V3 Technical Report
• G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
• Qwen3 Technical Report
• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

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