What We Know Dont Know Rolling Explainer Format Template

Structure caller independently verified rolling-explainer known/unknown/disputed evidence without silently converting uncertainty into confirmed facts; not factual authentication. Caller independently verifies context, evidence, reference edition and applicability; not factual authenticity, current legal advice or publication clearance.

Description

A rolling explainer separates established claims from unknown and disputed material as reporting develops.

A rolling explainer separates established claims from unknown and disputed material as reporting develops.^[1]

The distinction should come from reviewed evidence rather than confident wording.

When to use What We Know Dont Know Rolling Explainer Format Template

Use this tool to calculate or review the supplied observations under the stated rules. Establish the reviewed evidence, house style or applicable jurisdiction and dated reference.

How to use What We Know Dont Know Rolling Explainer Format Template and understand its results

Establish the reviewed evidence, house style or applicable jurisdiction and dated reference.
Enter callerClaimIds, callerClaimTexts, independentlyAnnotatedKnowledgeStates, using the field meanings and rules below, then run the tool.
Read knownClaimTexts, unknownClaimTexts, disputedClaimTexts, using the output meanings and calculation rules below.
Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.

Input field	Meaning	Value type	Requirement
callerClaimIds	Caller claim ids	list of string	Required
callerClaimTexts	Caller claim texts	list of string	Required
independentlyAnnotatedKnowledgeStates	Independently annotated knowledge states	list of string	Required

Use nonempty aligned unique nonblank claim IDs, claim texts and exact state strings known, unknown or disputed. Validate every state, then partition the texts into those three lists while preserving their original order. The output does not include the claim IDs.

knownTexts=filter(texts,state=known); unknownTexts=filter(texts,state=unknown); disputedTexts=filter(texts,state=disputed)

Use the matching field units and the exact boundary, ordering and reference rules above.

Output field	Meaning	Value type
knownClaimTexts	Known claim texts	list of string
unknownClaimTexts	Unknown claim texts; unresolved records kept separate from known results	list of string
disputedClaimTexts	Disputed claim texts	list of string

json

{
  "input": {
    "callerClaimIds": [
      "a",
      "b",
      "c"
    ],
    "callerClaimTexts": [
      "confirmed record",
      "pending confirmation",
      "disputed accounts"
    ],
    "independentlyAnnotatedKnowledgeStates": [
      "known",
      "unknown",
      "disputed"
    ]
  },
  "output": {
    "knownClaimTexts": [
      "confirmed record"
    ],
    "unknownClaimTexts": [
      "pending confirmation"
    ],
    "disputedClaimTexts": [
      "disputed accounts"
    ]
  }
}

Limitations and assumptions

States are supplied editorial annotations. The tool does not check evidence, authenticate claims, monitor changing facts or generate new explanatory prose.

Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above.

Alternative or Complementary methods

For a related step, use Factcheck Claim Rating Scale Format Lookup: Fact-check rating labels have outlet-specific definitions and scope. For a complementary comparison, use Correction vs Retraction Classifier Lookup: Correction and retraction address different independently assessed scopes of unreliability.

References

What We Know Dont Know Rolling Explainer Format Template — tool.io

Similar or alternative tools

Factcheck Claim Rating Scale Format Lookup
Fact-check rating labels have outlet-specific definitions and scope.
Correction vs Retraction Classifier Lookup
Correction and retraction address different independently assessed scopes of unreliability.