docs: README and About copy for the tuned additive model

The idea table now shows 83/69/18 (the soft-program default) with a 'who you
teach matters more than how many' framing; the model section describes the
forwarding composite (baseline, raised by novelty, lowered by harm awareness)
and the soft education lever instead of the old fixed-rate / never-forward
wording. Background acknowledges the team's literature sourcing of the
parameters and frames this demo as the accessible layer of the funded
instrument (calibration, full parameters, optimisation). Preset About copy
updated to match.
This commit is contained in:
Justin Visser 2026-06-18 22:24:10 +02:00
parent 792c636354
commit 6b2cbd5728
2 changed files with 38 additions and 19 deletions

View file

@ -13,12 +13,13 @@ export const deepfakeSchoolPreset: StudyPreset = {
disclaimerShort: 'Illustrative model, not validated',
disclaimerLong:
'spreadlab runs a seeded agent-based toy simulation: a synthetic ' +
'friendship network of one school year group, a fixed chance to forward ' +
'the fake along each friendship per round, and an education program that ' +
'teaches some students to refuse. Its parameters are chosen for ' +
'illustration, not fitted to data, so it is not a validated prediction ' +
'of any real school. Use it to build intuition about who to educate, ' +
'not to forecast outcomes.',
'friendship network of one school year group, a chance to forward the ' +
'fake along each friendship that rises with how novel it is and falls ' +
'with the ambient harm awareness, and an education program that strongly ' +
'but imperfectly reduces forwarding for educated students. Its parameters ' +
'are illustrative sensitivity ranges, not fitted to data, so it is not a ' +
'validated prediction of any real school. Use it to build intuition about ' +
'who to educate, not to forecast outcomes.',
readingCaption:
'Each dot is one student in the same simulated year group. Every scenario ' +
'runs the identical school; only the education program differs.',