Definition #

Definition: An Attribution Magnet is a content asset designed around material that another author or answer system can identify, quote, and attribute to a named source. The asset may contain an original definition, dataset, method, framework, decision table, or named distinction.

The defining feature is sourceable substance. A format or headline alone does not qualify; the asset needs a specific contribution and a clear origin.

Premise: A distinctive, sourceable contribution is more likely to receive attribution than a generic restatement of material already available elsewhere.

Common Forms #

An Attribution Magnet can be built around:

  • A clearly bounded original definition.
  • A dataset with a declared collection method.
  • A repeatable measurement method.
  • A named framework with explicit components.
  • A decision table that resolves a practical choice.
  • A concise distinction between terms that are often conflated.

Originality should be stated precisely. A synthesis should be identified as synthesis; a hypothesis should be identified as hypothesis; data should include its method and source records.

Design Checklist #

Before publication, identify:

  • The exact passage or artifact intended for reuse.
  • The named author, organization, or dataset that should receive attribution.
  • The evidence boundary around factual claims.
  • The stable title and canonical location of the asset.
  • The surrounding context needed to prevent misleading extraction.
  • The update policy when the underlying material changes.

Working hypothesis (not measured): Clear naming, compact source boundaries, and explicit authorship may increase the chance that reuse preserves attribution.

Relationship to Citation Architecture #

Premise: Within the Machine Relations model, an Attribution Magnet is a content unit used by Citation Architecture. Citation Architecture organizes the page for extraction; the Attribution Magnet supplies the original material worth attributing.

Earned Authority and Entity Clarity remain separate inputs. The asset itself does not establish that a source is trusted or that an answer system will select it.

Practical Boundary #

An Attribution Magnet is not a disguised unsupported claim. Statistics require source records, comparisons require a declared basis, and causal statements require evidence or an explicit working-hypothesis label. A new label does not exempt its surrounding factual assertions from those requirements.

Machine Relations definition. This is an established industry term. This page is Machine Relations' definition of it — not a claim to have originated the term.

Machine Relations references

Machine Relations' own methodology, dataset, and research pages related to this term. These are self-references, listed separately from Sources — they are not independent evidence.