Influence Operation

Influence operations, encompassing efforts to manipulate public opinion through information dissemination, are a growing area of research focusing on detection and understanding their mechanisms. Current studies utilize various approaches, including large language models for content analysis and agent-based models simulating information spread on social media, often incorporating graph learning techniques to identify coordinated campaigns. This research is crucial for mitigating the impact of malicious influence operations on democratic processes and public discourse, with applications ranging from election integrity to public health communication.