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Narrative Integrity Desk
NPOV
Narrative Integrity Desk
Choose where to work.
Analysis Workspace
Assessor
Run article/editor assessments, monitor live analysis progress, and review recent report outcomes.
Open Assessor
Monitoring Workspace
Editor Tracker
Manage tracked editors, run due scans, and inspect stage-by-stage run dashboards in real time.
Open Editor Tracker
Narrative Intelligence
Topic Tracker
Track topic-level narrative evolution, monitor run history, and review changed articles/editors over time.
Open Topic Tracker
Assessor
Live analysis queue and recent assessment reports.
Command Center
Recent Reports
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Report & Artifacts
Activity Feed
New Assessment
Configure and launch an NPOV analysis on any Wikipedia article.
e.g. Peter_Thiel, Peter Thiel, or https://en.wikipedia.org/wiki/Peter_Thiel
Use one target per line (recommended). Commas inside titles/URLs are preserved. Quoted CSV input is also supported.
Leave blank to auto-detect from the article URL or title.
Selection applies only when Max Revisions is set.
Case-insensitive match across revision metadata (title, comment, editor, tags, etc.), with uppercase AND/OR/NOT support. Applied before selection/limit.
Editor Tracker
Track known editors, browse recent activity, and trigger due scans.
Tracked Editors
Browse, search, and manage tracked editors.
Scan Runs
Start runs, monitor status, and review scan history.
Add Tracked Editor
New editors trigger an initial scan automatically.
Comma-separated language codes scanned per editor.
Topic Tracker
Topic-first narrative intelligence with recurring run analysis.
Tracked Topics
Browse, search, and manage tracked topics.
Scan Runs
Start runs, monitor status, and review topic scan history.
Create Topic
Create a topic-first tracker with monitored articles/editors and scan cadence.
Optional lower bound for initial historical scan. When you leave this field, your text is validated and replaced with the resolved UTC date (YYYY-MM-DD).
Use one per line (recommended). Quoted CSV input is also supported.
Use one per line (recommended). Quoted CSV input is also supported.
Related candidate discovery runs automatically on every topic run.