Influence Campaign

Influence campaigns, aimed at manipulating public opinion or behavior, are increasingly studied using computational methods to analyze their complex dynamics. Current research focuses on developing automated detection systems, leveraging large language models and graph neural networks to identify coordinated messaging, extract campaign goals and tactics from textual data, and predict influence spread within social networks. These advancements offer improved understanding and detection of influence campaigns, with implications for mitigating misinformation and safeguarding democratic processes.