A R T I C L E I N F O

A B S T R A C T

1. Introduction

2. FAIGC Taxonomy  
2.1. The Intent Behind FAIGC  
2.2. The Modalities and Generative Technologies of FAIGC  
2.3. The Creation Method of FAIGC  

3. AI-Generated Disinformation  
3.1. Text Modality  
3.2. Visual Modality  
3.3. Audio Modality  
3.4. Multimodal  

4. AI-generated Misinformation  
4.1. Cause Of Hallucination  
4.2. Hallucination Mitigation  

5. FAIGC Detection Methods  
5.1. Deceptive FAIGC Detection  
5.2. Deepfake Detection  
5.3. Hallucination-based FAIGC Detection  

6. FAIGC Detection Benchmark  
6.1. Deceptive FAIGC Detection  
6.2. Hallucination-based FAIGC  
6.3. Deepfake Detection  

7. Challenges and Future Directions  

8. Conclusion