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Relevance 8/10Safety and PolicyIntermediate6 min read
Misinformation Labeling
Misinformation labeling flags unsupported, deceptive, or manipulated claims.
Why it matters for annotators
Misinformation workflows are central to trust and factuality efforts.
Visual mental model
Claim -> evidence check -> misinformation class.
Examples (bad vs good)
Scenario: Real annotation scenario involving Misinformation Labeling
Bad: Labeling quickly without applying project rubric.
Good: Applying rubric criteria, documenting rationale, and escalating uncertainty.
Common mistakes
- Skipping guideline details for edge cases.
- Applying inconsistent criteria across similar samples.
- Avoiding escalation even when uncertain.
Submission checklist
- Read the latest guideline update before each batch.
- Apply rubric dimensions explicitly in each decision.
- Escalate ambiguous items with concise rationale.