Micro-Targeted Manipulation: Segmentation & Defense
Interactive 3D model of algorithmic micro-targeting: launch a psychographic influence campaign against a simulated population in trait space and watch how targeting precision, media literacy and ad-transparency policy change reach, opinion shift and detection risk.
This simulator models a simulated population of users positioned in a 3D "trait space" — ideology, persuadability and baseline media literacy — and lets you launch a psychographic influence campaign against them. A Gaussian targeting kernel concentrates the campaign's budget on whichever slice of the population the precision slider selects, exactly the way real micro-targeting systems narrow an audience for maximum persuasive match. The same controls that make a campaign more effective also make it easier to catch: raising precision and budget together spikes a live detection-risk readout modelling the anomaly signal platform trust-and-safety systems use to flag coordinated, narrowly-targeted manipulation, and toggling ad-transparency disclosure — a real defensive policy — visibly cuts both the campaign's reach and its persuasive power.
Launch a simulated psychographic influence campaign against a population placed in 3D trait space and see how targeting precision, budget, media literacy and ad-transparency policy trade off reach, opinion shift and platform detection risk.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install