Algorithmic Attention and Content Creation on Social Media Platforms
The study investigates how social media platforms should allocate user attention between advertising revenue and creator incentives. The optimal strategy involves using attention subsidies discriminatorily based on creator types, leading to specific allocation rules under different information settings. This framework suggests trade-offs between maximizing ad revenue and supporting content production.