🧪 Social Media Social Media Automation Simulation
Interactive 3D simulation of a social-media automation account publishing a scheduled post into a follower network: watch automation bots fire an instant engagement spike that boosts the feed algorithm's recency-weighted visibility score, then trigger a probabilistic organic cascade through human followers.
This simulation models what actually happens when a social-media automation tool publishes a scheduled post into a follower network. A gold "automation account" node sits at the centre of a 3D follower graph of blue human accounts and red bot accounts. Publishing a post starts a recency-weighted visibility score that automation bots inflate almost instantly, and that inflated score then drives a probabilistic organic cascade through real human followers — the same engagement-velocity mechanism feed-ranking algorithms use to detect trending content, and the same mechanism bot networks exploit to fake it. Tune the bot ratio, automation latency, organic engagement rate and score decay to see how each one reshapes reach, algorithmic visibility, and the bot share of total engagement.
This simulation explores the use of automation tools in managing social media accounts, showcasing how bots and algorithms can streamline content scheduling and interaction.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install