# The future of news is the story vault, not the paywall: what changed in v1.2.0, sgit.ai > The changes to the article "The future of news is the story vault, not the paywall" in v1.2.0, paragraph by paragraph. *Source: · sgit.ai v0.7.40 · this file is generated from the same content as the page, so the two cannot drift. Every page on this site has a `.md` twin; internal links below point at them.* --- [Home](../../../index.md) / [Articles](../../index.md) / [The future of news is the story vault, not the paywall](../../future-of-news-story-vault-not-paywall.md) / [Versions](../future-of-news-story-vault-not-paywall.md) / v1.2.0 # The future of news is the story vault, not the paywall: what changed in v1.2.0 From v1.1.0 (2026-09-22, `1ddfae520`) to v1.2.0 (2026-09-22, `73408357b`), paragraph by paragraph. 18 paragraphs added, 0 removed, 3 changed in place, 93 unchanged. About 1,514 words added and 0 removed. Insertions are marked like this, deletions like this; unchanged runs are folded to one line; figures appear as their file names. [← v1.1.0](v1.1.0.md) · [all versions](../future-of-news-story-vault-not-paywall.md) · [v1.3.0 →](v1.3.0.md) 1 unchanged paragraph Summary: The news industry runs on two commercial models, advertising and subscriptions, and both are bad for the reader. One sells the reader to somebody else. The other charges rent on something most people have stopped using. Both are now being dismantled from outside, by a search layer that has stopped sending traffic and by consumer law that arrives in January 2027. This article is about what to build instead, in practical terms. The objective is a commercial model that rewards investigative journalism, so that the expensive, evidenced kind of reporting drives usage, usage drives revenue that depends on neither search nor renewals, and that revenue funds more of the same. The mechanism is to stop selling the article and start selling what the article was made from. The story is a graph.graph, a fractal semantic graph in which meaning comes from connectivity and every claim walks down to hashed evidence, so that trust comes through provenance and provenance comes via evidence. The article is one projection of it. From that one graph a newsroom can sell five things, on demand and in pence, to readers, to firms and to agents, and every payment walks back to the people who made the facts. It is built, in parts, on things we have already published. 8 unchanged paragraphs, under In short • **The graph is fractal, and meaning comes from connectivity.** A claim means nothing on its own; what it is arrives through its edges: who stated it, what it rests on, what it contradicts, what replaced it. Open any node and it is a graph of its own, a source opens into an identity world, a claim opens into the sentence and the bytes it came from, and the regulator, the company and the newsroom each keep their own vocabulary, joined by edges the newsroom draws. That is what connecting the dots has always meant, made inspectable. • **Trust through provenance, provenance via evidence.** Trust is not asserted, it is the result of a chain that can be walked: from a claim, along named edges, to evidence that is frozen bytes with a hash. Because nothing on that ladder is asserted, every rung of it can be sold. 1 unchanged paragraph • **Trust, provenance and customisation are the products.** The words can be regenerated by any model in a second. The frozen evidence, the chain from claim to bytes, the journalist's track record and the on-record confirmation cannot, and those are what the reader, the firm and the agent were trying to buy all along. A customised projection is one altitude of the graph, loaded for one question. 33 unchanged paragraphs, under Both models are bad for the reader, The objective, stated once, The two clocks, briefly… ## The graph is fractal, and meaning comes from connectivity "Graph" is doing a lot of work in that section, so it is worth saying which kind, because the kind is what makes the rest of this piece buildable rather than a metaphor. The graph is a [Fractal Semantic Graph](https://sgit.ai/demos/fractal-graphs/index.md), and two of its properties are the ones a newsroom has always run on without a way to write them down. **Meaning comes from connectivity.** The thesis of [graphs.sgit.ai](https://graphs.sgit.ai/) is one sentence: *a node means nothing on its own; what it is arrives through its edges.* In a semantic graph every edge is a verb with a named inverse, evidenced_by, stated_by, contradicts, supersedes, so a link reads correctly from either end, and an edge with no verb is banned, because two things always relate and an edge that says only that constrains nothing. Now apply that to a fact in a story. The fact on its own is a sentence. What it *means* is who stated it, in answer to what, what document it rests on, which earlier claim it contradicts, which later one replaced it, and when. That is not an abstraction laid over journalism. It is the craft. A reporter who knows that a quote from the regulator on Tuesday contradicts the company's filing from March has done exactly one thing: drawn an edge, with a verb. The Portugal newsroom's rule, *we connect the dots, we do not draw them*, is a description of semantic graph construction, and the graph is what makes each connection inspectable rather than trusted. [figure news-zoom.webp] A story, zoomed. At the desk's altitude it is a node among stories, entities and events. Open it and it is claims, sources, evidence and versions, every edge a verb. Open a claim and it is the sentence, the words in it, and the byte range in a hashed file it came from. Open a source and it is an identity world of its own. The vocabulary changes at every altitude. The grammar does not, and neither does the provenance. **And the graph is fractal.** Zoom into any node and you enter a new world with its own node types, its own verbs and its own vocabulary, joined to the one you left by a single named edge. The story is one node in the desk's graph of stories, entities and events. Open it and it is a graph of claims, sources, evidence and versions. Open a claim and it is the sentence it rests on, the words in that sentence, and the byte range in a hashed file where they sit. Open a source and it is an identity world: credentials, past claims, corrections, in the vocabulary of the [identity graphs piece](https://docs.diniscruz.ai/2025/04/21/strengthening-trust-in-news__implementing-identity-graphs-for-authors-and-sources.html) from April 2025, and the flag that says this source is anonymous lives on that node, where every projection has to pass it. Open the regulator and it is the regulator's world, in the regulator's vocabulary; open the company and it is the company's, filings and ownership and funding. None of them was asked to adopt the newsroom's schema. The three layers graphs.sgit.ai describes, *shared facts owned by nobody, per-party formulas, declared bridges between them*, are a description of what a good newsroom already is: a place that draws edges between worlds that will never agree on a vocabulary. Four things fall out of the fractal property that matter here. • **Provenance comes free.** When the leaf is a word, and the word is connected to the byte range it came from and the hash of the file that held it, every claim at every altitude above it is traceable to source with no extra machinery. graphs.sgit.ai states the discipline as a build rule: *every fact carries the sentence it came from, and the build fails if that sentence has moved.* A newsroom whose build fails when a source page changes under it has solved the correction problem before it is a problem. • **A correction propagates instead of being republished.** Mark one node superseded and every path that rested on it becomes a query, *what did we build on this?*, rather than an archaeology project. A document cannot do that. The correction is a new document, and nothing connects it to the thousand that already cite the error. • **The smallest node is whatever the question needs.** For the reader it is the headline. For the analyst it is the claim and its sources. For the lawyer it is the word, and whether the word in the filing is the same word the regulator used. You load as much of the graph as this question needs and no more, because the rest stays one edge away. That is what a customised projection is: one altitude, one context, and it is why the same graph can be sold at five prices without being copied five times. • **Every door teaches you something, including the empty ones.** The page on fractal graphs puts it well: even when the answer is *nothing to see here*, you now know that door was empty, and that is knowledge too. Any investigative reporter will recognise the description. Most of an investigation is doors that were empty, and under the current model that work is invisible and unpaid. In the graph it is a node with a verb on it, and it is part of what the evidence vault is worth. ## Trust through provenance, provenance via evidence The two products this whole piece is about, trust and provenance, are not the same thing, and the order between them matters, so here is the ladder stated once. **Evidence** is the bottom rung, and it is bytes. A source page fetched on a date, frozen, and hashed with SHA-256. An interview recording. A filing. A dataset. Not a link to any of them, because a link is a promise that the thing will still be there and still say the same, and the web breaks that promise constantly. The [Regulation Graph](https://sgit.ai/demos/vaults/regulation-graph/index.md) ends every chain in a hash of the retrieved bytes for exactly this reason, and so does the [Portugal newsroom](https://newsroom.sgit.ai/portugal), for 88 sources today. **Provenance** is the path from a claim, down through named edges, to that evidence. It is what lets anyone, a reader, an editor, a lawyer, an agent, walk from a sentence in the article to the bytes it rests on, and see at each step what the edge says: supports, partially supports, extends beyond, contradicts. Provenance is not a statement that the claim is true. It is a statement of what the claim rests on, which is a narrower thing and a checkable one. **Trust** is what a reader, or a market, extends to a source whose provenance they have walked before and found to hold. It is earned by consistency over time, which is why the fact provenance piece of February 2025 said *trust emerges over time, formed by repeated demonstrations of ethical sourcing and consistent reliability*, and why the journalist's credibility in this model is computed from the graph rather than asserted: how often their claims were superseded, how quickly they corrected, how independent their sources were. The reason to be precise about the ladder is commercial. Every rung of it can be sold, because none of it is an assertion. The evidence vault sells the bottom rung. The licensed article and the customised projection sell a walk along the middle one. The verification API sells the top one, an answer on the record from a source with a track record, with a warranty. And none of those sales is possible if the newsroom kept only the article, because the article is the one artefact that contains none of the three. 25 unchanged paragraphs, under What a story vault holds, Five things to sell, and how each one works Two instances exist. The [personalised briefing for Dan Raywood](https://docs.diniscruz.ai/2025/06/06/personalised-briefing-for-dan-raywood-on-the-future-of-news.html), from 6 June 2025, is the future-of-news argument projected for a cybersecurity editor with seventeen years on that beat, produced by hand. [pt.newsroom.sgit.ai](https://pt.newsroom.sgit.ai/) is the other, produced by a pipeline: it is *natively Portuguese, not a translation*, because it is projected from the graph rather than translated from the English words. The buyer here is a desk, a firm or a country, and the price is for the cut, not the content: the sector briefing that a bank's risk team receives every morning is the same graph the public article came from, projected for them, and it can be produced for £8.40 rather than by a research team. In the language of the fractal graph, a projection is one altitude and one context, loaded with exactly as much of the graph as that reader's question needs, and the rest one edge away. 25 unchanged paragraphs, under Who gets paid, and how the money moves, The parts that already run, What I would do, if I ran a publisher… [← v1.1.0](v1.1.0.md) · [all versions](../future-of-news-story-vault-not-paywall.md) · [v1.3.0 →](v1.3.0.md) --- *[Site index for agents](../../../llms.txt) · [HTML version](https://newsroom.sgit.ai/articles/versions/future-of-news-story-vault-not-paywall/v1.2.0.html)*