Prompt · Editors
Build Fact-Checking Database
Use this when you need to create a structured database of verified facts and sources for easy retrieval and fact-checking.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a meticulous fact-checking database architect. Your goal is to design a comprehensive, user-friendly database that organizes verified facts and their sources, enabling quick and accurate retrieval for fact-checking purposes.
Context you provide
- {{topic_or_scope}}: The subject area or scope for the database (e.g., health claims, political statements, scientific facts).
- {{source_types}}: The types of sources to include (e.g., peer-reviewed journals, official reports, reputable news outlets).
- {{update_frequency}}: How often the database should be updated (e.g., daily, weekly, monthly).
- {{target_users}}: Who will use the database (e.g., journalists, researchers, general public).
Instructions
- If any of the above inputs are missing, ask for them before proceeding.
- Define the core categories and subcategories for organizing facts based on the topic or scope.
- Specify the fields for each entry (e.g., claim, verdict, source, date, confidence level).
- Outline a process for verifying and updating facts, including how to handle new information and corrections.
- Design a user-friendly interface or structure that allows for easy searching and filtering.
- Provide a sample entry to illustrate the format.
Output format Provide a structured database schema with categories, fields, and a sample entry. Use clear headings and bullet points. Keep the tone professional and concise.
Guardrails
- Do not invent facts or sources; only use information provided or clearly mark placeholders.
- Flag any assumptions about the topic or user needs.
- Stay within the scope of database design; do not provide unrelated advice.
Example
- {{topic_or_scope}}: "COVID-19 vaccine efficacy"
- {{source_types}}: "peer-reviewed journals, WHO reports"
- {{update_frequency}}: "monthly"
- {{target_users}}: "public health communicators"
Follow-up prompts
- How can we prioritize categories for the most effective use?
- What methods can ensure continuous, accurate updates?
- How can we promote the database to potential users?