Most organizations identify outdated documentation based on the last modified date.
However, documentation can become less trustworthy even when it is frequently edited due to contradictions, duplicated information, fragmented ownership, and inconsistent terminology.
Should Confluence move beyond "stale page detection" and instead introduce a measurable Knowledge Entropy Score that evaluates structural degradation across an entire knowledge base?
Has anyone developed similar governance models for large enterprise deployments?
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