Online Content

Online content research focuses on understanding how information spreads and impacts users, particularly concerning recommendation systems and the influence of engagement-based optimization. Current studies explore fairness and equity in algorithms, investigating how to mitigate biases that favor popular content and disadvantage smaller creators, while also examining how users' trust and information processing strategies interact with new technologies like generative AI. This research is crucial for improving online platforms, promoting responsible content creation, and mitigating the negative consequences of information overload and polarization, impacting both the design of online systems and our understanding of human behavior in digital environments.