Fake User

Fake user accounts, created to spread disinformation, manipulate systems, or commit fraud, are a growing concern across online platforms. Research focuses on detecting these accounts using various methods, including predictive modeling based on behavioral patterns, graph neural networks analyzing social interactions, and generative adversarial networks (GANs) to identify AI-generated profile images. These efforts are crucial for mitigating the impact of fake users on social media, recommender systems, and other online services, with implications for cybersecurity, public trust, and the integrity of online information.