Bridging Recommendation Algorithm Simulator

The saved simulator ranks synthetic posts by a weighted sum of three hand-assigned features: bridging, affinity and outrage. For its default weights point five, point three five and point one five, example record p seven scores point six one two. Record p eight scores point four six five. The bars use one thousand pixels per score unit. They show this pairwise comparison, not a claim that either record is highest among all twelve. The source scores are authored examples; they are not measured truth, civic quality or predictions of real users. The outrage preset changes the weights to point zero five, point two and point seven five. Keeping the same two feature vectors, p seven now scores point two zero two five and p eight point seven nine five. The relative order reverses because the second example has an outrage feature of point eight five versus point zero eight. These bars keep the same one thousand pixels per score unit. Changing the objective changes what the ranking rewards; it does not supply new evidence that a post is accurate or that a real community becomes polarized. The page also labels an index polarization. Its source computes point four five times affinity weight plus point six five times outrage weight, minus point four times bridging weight, plus point one five, then clamps the result. The default weights give about point two zero five before display rounding; the outrage preset gives about point seven zero seven five. The bars use one thousand pixels per index unit. This is a hand-written proxy formula, not an observed social outcome. Export preserves the selected topic, weights, rounded metrics, top three scores and threshold-written recommendation; its research attribution metadata does not validate those synthetic results.