LAND model ·

Rumor Network Lab

A small-world community where a rumor spreads, correction and goodwill accounts push back, and every exposure triggers a judgment call.

How to read this

22 humans sit on a small-world ring, each watching a handful of neighbors. Rumor accounts push the rumor outward; correction and proactive accounts push back. Every message that lands is a judgment call: the receiving human may attend to it, let it shift their belief, and sometimes pass it on to their own neighbors. Once a human's accumulated exposure crosses a threshold, they flip to "accepted rumor" (or back to "rejecting"). The judgment engine you pick below decides how fast and how expensively those calls get made — that's what the service-time race at the bottom is comparing.

human · rejecting human · accepted rumor rumor account correction account proactive account

Judgment engine

Account mix (α ratios)

Run readout

Step
0
Accepted rumor
0%
Authored (M)
0
rumor 0 · correction 0 · proactive 0
Judgments (D)
0
attended 0 · skipped 0 · re-shared 0
Pending judgments
0
Belief split
0 / 22
Belief trend over time
accepted rumor rejecting
Projected time
0.0s
Cost (this run)
$0.00

Service-time race

Same workload, two ways of serving it — every authored message and every judgment call, priced at the selected engine's latency versus an all-generative baseline. This mirrors the paper's projection: a fixed GLM workload of 7 authorship and 53 judgment calls falls from roughly 120–240s to 18–55s once judgments move to Jev.

All-generative (every call through the LLM)0.0s
Current engine0.0s