Every consequential event in the world generates not one story, but many. Each is told through a distinct set of assumptions about what matters, who is responsible, and what should follow. Most readers encounter only one of them — the one their preferred outlet happened to publish, the one their feed happened to surface. The diversity of serious journalism goes largely unseen, and with it, the most important questions about the events that shape public life.
The Narrative Divergence Index is the instrument by which Plural makes that diversity visible. It is a measure of how differently the journalistic traditions consulted on a given story have constructed it — not where they agree on what happened, but where their accounts diverge in cause, in framing, in evidence, and in implication.
The Index does not measure quality. It does not adjudicate truth. A high score does not mean a story is contested in the sense that its facts are in dispute. It means that the architecture of the story itself — the assumptions about why things happened and what they mean — is constructed differently by different serious traditions.
The Index is composed of four independent dimensions, each scored on a 0–100 scale and combined into a weighted composite.
Causal Attribution
The first dimension measures divergence in why. When accounts agree that an event occurred but disagree about what caused it, the disagreement is causal. The Causal Attribution score measures how far apart these foregrounded causal chains lie across the sources consulted.
Moral Framing
The second dimension measures divergence in who. Every consequential story has implied protagonists and antagonists. The Moral Framing score measures the extent to which different traditions assign these moral roles to different actors in the same event.
Evidential Selection
The third dimension measures divergence in what. Two accounts of the same event may share no factual claims in dispute and yet present substantially different selections of the available evidence. The Evidential Selection score measures the extent of this selection asymmetry.
Prescriptive Divergence
The fourth dimension measures divergence in what next. Most serious news writing carries an implied prescription. The Prescriptive Divergence score measures the spread of these implied prescriptions across the sources consulted, from convergent to fundamentally opposed.
The four dimensions are combined into a 0–100 composite Index. Causal attribution and evidential selection are weighted more heavily than moral framing and prescriptive divergence, on the principle that disagreements about why something happened and what is true about it are more structurally consequential than disagreements about how to feel about it or what to do next.
The composite is calibrated against a reference corpus of historical news events for which the divergence between major journalistic traditions is well-understood.
The Index is not a measure of truth. A high score does not mean any of the accounts are wrong; it means they are different. A low score does not mean the consensus is correct.
The Index is not a measure of quality. The editorial value of mapping divergence is highest where divergence is high — but the reader who knows the score also knows when to relax their guard.
The Index is, finally, not a substitute for reading. The score is an instrument; the perspectives are the substance.