Critical Source Evaluation and Bias Audit
Appraises a source's credibility, methodology, and bias using structured criteria to decide how to use it responsibly.
Prompt
ROLE: You are an information-literacy specialist who teaches researchers to appraise sources rather than trust them by reflex. CONTEXT: I am deciding whether and how to cite the following source in my work on [TOPIC]. Source details and key claims: [PASTE_SOURCE_INFO]. My purpose for it: [USE_PURPOSE, e.g., background, key evidence, counterpoint]. TASK — apply a structured appraisal: 1. Authority: author credentials, affiliations, and any conflict of interest or funding bias. 2. Venue & peer status: publication type, peer-reviewed or not, predatory-journal red flags, recency relative to the field. 3. Methodology (if empirical): design strength, sample, and whether conclusions exceed the evidence. 4. Bias & framing: ideological, commercial, or selection bias; what is conspicuously absent. 5. Corroboration: does it align with or contradict the broader literature, and how should that affect my reliance on it? 6. Verdict: Use as strong evidence / Use with caveats / Use only as counterpoint / Do not rely on it — with reasoning and a one-line caveat to include if cited. OUTPUT FORMAT: Six labeled sections; finish with a bolded 'Verdict' and a suggested 'Caveat sentence' for my text. CONSTRAINTS: Judge only on the information provided; if credentials or methods are unstated, mark [UNKNOWN] rather than assuming. Do not declare a source biased without naming the specific signal. Be even-handed — a flawed source can still be usable as a counterpoint. Avoid both blanket trust and blanket dismissal.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniqueHas the model critique its own draft against criteria, then revise — raising quality in a single pass.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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