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2025
VLDBench: Evaluating Multimodal Disinformation with Regulatory Alignment
Raza et al. · arXiv · Deepfakes & multimodal, Datasets & evaluation2025
E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs
Phan et al. · SCID '25 · LLMs & generative AI, Detection methods2025
Neighborhood-Order Learning Graph Attention Network for Fake News Detection
Lakzaei et al. · arXiv · Detection methods, Datasets & evaluation2025
A Decision-Based Heterogeneous Graph Attention Network for Multi-Class Fake News Detection
Lakzaei et al. · arXiv · Detection methods, Datasets & evaluation2025
Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection
Hu et al. · arXiv · Deepfakes & multimodal, LLMs & generative AI2025
Is Less Really More? Fake News Detection with Limited Information
Cao et al. · arXiv · Detection methods, LLMs & generative AI2025
Propasafe: A BERT-based offline tool for propaganda detection
Sharma et al. · ACM Web Conference 2025 · Detection methods, LLMs & generative AI2024
Controlled Change
Dodds · LLMs & generative AI, Platforms, policy & society2024
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection
Wan et al. · arXiv · LLMs & generative AI, Detection methods2024
Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Marchal et al. · arXiv · LLMs & generative AI, Platforms, policy & society2024
RAIDAR: Generative AI Detection via Rewriting
Mao et al. · ICLR · LLMs & generative AI, Detection methods2024
Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques
Mao et al. · arXiv · LLMs & generative AI, Datasets & evaluation2024
TELLER: A Trustworthy Framework For Explainable, Generalizable and Controllable Fake News Detection
Liu et al. · arXiv · LLMs & generative AI, Detection methods2024
From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News
Liu et al. · arXiv · Psychology & interventions, LLMs & generative AI2024
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said
Bang et al. · arXiv · LLMs & generative AI, Platforms, policy & society2024
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection
Ba et al. · arXiv · Deepfakes & multimodal, Detection methods2024
Can LLM-Generated Misinformation Be Detected?
Chen & Shu · ICLR 2024 · LLMs & generative AI, Detection methods2023
A Survey of Large Language Models
Zhao et al. · arXiv · LLMs & generative AI2023
Universal and Transferable Adversarial Attacks on Aligned Language Models
Zou et al. · arXiv · LLMs & generative AI, Platforms, policy & society2023
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
Zhang et al. · arXiv · LLMs & generative AI, Datasets & evaluation2023
A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions
Wu et al. · arXiv · LLMs & generative AI, Detection methods2023
Jailbroken: How Does LLM Safety Training Fail?
Wei et al. · arXiv · LLMs & generative AI, Platforms, policy & society2023
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity
Wang et al. · arXiv · LLMs & generative AI, Fact-checking & verification2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Vatter et al. · arXiv · Spread & networks, Detection methods