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Vague Sourcing
A guide to vague sourcing, anonymous attribution, and how LogicLens can help readers inspect claims backed by unclear sources.
What it means
Vague sourcing uses unclear attribution, such as 'experts say' or 'many believe,' without enough detail to judge credibility.
Why it matters
Sourcing lets readers evaluate trust. Vague sourcing asks readers to accept authority without seeing who or what supports the claim.
LogicLens helps readers detect and review signals associated with vague sourcing and many related article-level patterns, including weak reasoning, loaded wording, missing context, framing, sourcing gaps, and manipulative persuasion.
Common signs
- The source is described broadly but not identified.
- The reader cannot assess expertise or evidence.
- The wording suggests consensus without showing it.
Example
An article says experts are warning of a crisis but names no experts and links no reports.
Reader check
Ask whether the source is specific enough to evaluate.
FAQ
What is Vague Sourcing?
Vague sourcing uses unclear attribution, such as 'experts say' or 'many believe,' without enough detail to judge credibility.
Can LogicLens help detect vague sourcing?
LogicLens is built to help readers detect and review signals associated with this pattern and related forms of weak reasoning, loaded wording, missing context, framing, and manipulative persuasion in online content.
How do I spot vague sourcing while reading?
Ask whether the source is specific enough to evaluate.