Simulated OSN

Simulated Online Social Networks (OSNs) are computational models designed to replicate the various processes and operations of real-world social media platforms, primarily for research purposes. Current research focuses on using these simulations to improve adversarial example robustness against image manipulation, enhance machine translation capabilities for diverse languages and dialects, and develop more effective out-of-distribution detection methods for image classification. This work is significant because it allows researchers to study the complex dynamics of OSNs in a controlled environment, leading to advancements in areas like cybersecurity, natural language processing, and computer vision.