An Editorial Source Volatility Model for Content Maintenance

Citation maintenance is often scheduled by article age, even though sources change at different rates and carry different consequences. This model proposes a transparent way to prioritize rechecks.

Methodology

Score each source on three ordinal dimensions: observed or expected volatility, consequence if the supported claim becomes wrong, and dependency count across canonical pages. Keep the component labels visible rather than presenting the result as a precise probability. Review high-consequence disagreements manually.

Scope

The model supports editorial scheduling for externally sourced factual claims. It is not a substitute for legal review, domain-expert validation, or continuous monitoring of safety-critical information.

Findings

A stable source used widely may deserve review because one change affects many routes. A frequently changing source may remain low priority when it supports a minor example. Claim-to-source mapping is therefore a prerequisite for useful prioritization.

Inference boundaries

The model ranks maintenance attention; it does not predict the next change date or prove that an unchecked source is current. Scores are decision aids and should retain the reviewer, date, and rationale.

Limitations

Ordinal ratings are subjective and can drift between reviewers. New sources lack history, while silent edits may evade change detection. Teams should calibrate categories using observed corrections and revise thresholds over time.

Sources

• W3C PROV-O
• Google Search Central: Creating helpful content