How do I set up a content review queue for curating best community posts with version control?

A good setup is to treat curation like a lightweight editorial workflow with clear states, ownership, and an auditable history of changes.

1) Define the workflow states

Use a simple queue with statuses like:

• Submitted — community post entered into the queue
• Needs review — waiting for a curator/editor
• Under review — someone is actively evaluating it
• Accepted — approved for featured/curated use
• Needs edits — can be improved before approval
• Rejected — not suitable for curation
• Published — live in curated collection
• Archived — no longer active, but kept for history

If you want a stricter process, add:

• Draft
• Pending legal/moderation
• Scheduled

2) Store the post as versioned content

Keep the original community post immutable, then create separate editable versions for curation.

Recommended model:

• Post record: original submission, author, timestamp, source link
• Curation version: editable snapshot used for titles, summaries, tags, highlights
• Revision history: every change saved as a new version

Key fields to track:

• version number
• editor/curator
• change summary
• timestamp
• diff from previous version
• approval status

This lets you preserve the source while allowing editorial improvement.

3) Use a queue with assignment and priority

Your review queue should support:

• Automatic ordering by age, popularity, topic, or urgency
• Manual assignment to specific curators
• Priority labels like high-value, time-sensitive, trending
• Filters by topic, language, community, author, or score

A practical prioritization formula might include:

• community upvotes
• comment engagement
• freshness
• relevance to current campaign/theme
• moderation risk

4) Add version control rules

Borrow ideas from software version control:

• Every edit creates a new version
• Only one “active draft” per item, or use branching if multiple editors work in parallel
• Require a review step before merging edits into the approved version
• Allow rollback to any prior version
• Keep a clear audit log of who changed what and why

Example revision policy:

• Minor edits: typos, formatting, metadata updates
• Major edits: rewrites, summary changes, title changes
• Restricted edits: changes to claims, quotes, or attribution require extra approval

5) Define roles and permissions

Typical roles:

• Submitter — creates post or flags it for curation
• Reviewer — evaluates quality and relevance
• Curator/Editor — edits the version for publication
• Approver — final sign-off
• Admin — manages rules, permissions, and rollback

Permission idea:

• submitters can create only
• reviewers can approve/reject
• editors can draft and revise
• approvers can publish
• admins can restore any version

6) Add review criteria

Use a scorecard so reviews are consistent.

Possible criteria:

• relevance
• originality
• usefulness
• clarity
• community resonance
• safety/compliance
• alignment with editorial goals

Example:

• Score each 1–5
• Require a minimum total or threshold
• Add mandatory notes for rejection or major edits

7) Build the UI around queue + diff + history

Helpful screens:

• Queue list with filters and priorities
• Detail view with original post + current draft + comments
• Version timeline showing all revisions
• Diff view highlighting edits
• Decision panel for approve/reject/request changes

If possible, include:

• inline comments
• mentions/assignments
• due dates
• status badges
• lock indicators for concurrent editing

8) Set up moderation and compliance safeguards

For community content, include checks for:

• plagiarism
• harmful content
• privacy issues
• copyrighted material
• policy violations
• attribution correctness

You may want an extra “hold for moderation” state before curation.

9) Automate the boring parts

Automation helps a lot:

• auto-create queue item when a post reaches a threshold
• auto-tag by topic using keywords/ML
• auto-detect duplicates
• notify reviewers when assigned
• remind reviewers of aging items
• auto-publish after approval and scheduling
• create a changelog on every version save

10) Recommended database structure

A simple relational setup:

• posts
  • id, source_id, author, body, created_at, metadata
• curation_items
  • id, post_id, status, priority, assigned_to, current_version_id
• versions
  • id, curation_item_id, version_number, title, summary, body, tags, created_by, created_at, parent_version_id, change_note
• reviews
  • id, curation_item_id, reviewer_id, decision, score, notes, created_at
• audit_log
  • id, entity_type, entity_id, action, actor_id, timestamp, diff_snapshot

11) Good operational policy

A simple governance policy could be:

• all edits require a version note
• no direct overwrite of published content
• approvals require two-person review for sensitive content
• rollback is allowed at any time
• archived versions remain searchable for audit

12) Start with a minimal MVP

If you want to launch quickly, build only:

1. Submission intake
2. Review queue
3. Editable curation draft
4. Version history
5. Approve/reject
6. Publish/archive

Then add:

• comments
• diffs
• automation
• branching
• analytics

If you want, I can also give you:

• a sample schema
• a workflow diagram
• or a Notion/Airtable/Jira-style setup for this queue.