Bot Detection

Social bot detection aims to identify automated accounts on social media platforms that spread misinformation and manipulate public opinion. Current research focuses on developing robust and adaptable detection methods, employing techniques like random forests, graph neural networks, and large language models, often addressing challenges posed by increasingly sophisticated bots and class imbalances in datasets. These advancements are crucial for mitigating the harmful effects of bots, improving the integrity of online information ecosystems, and informing the development of more effective platform moderation strategies.