Micro-Targeting Field Map: Segmentation & Defense (2D)

This is a 2D field-based counterpart to the 3D micro-targeting model: instead of a cloud of discrete agents in a trait-space cube, the population is a continuous density field over an ideology×persuadability plane, with baseline media literacy folded in as its own scalar field rather than a spatial axis. Launching a campaign evaluates the identical Gaussian match kernel and influence formula per grid cell, then — genuinely new here — lets the resulting opinion shift diffuse outward across neighboring cells frame by frame, modelling social-graph contagion beyond the campaign's direct hits. Detection risk and the precision/detectability trade-off are unchanged: a tight, well-funded, undisclosed campaign is the most persuasive and the easiest for a platform's anomaly classifier to catch.