Editorial Standards
Probed publishes a mix of source tracking, structured summaries, and original analysis. This page describes the standards used to keep those layers distinct.
Source Handling
- Primary-source links should be preserved whenever they are available.
- Third-party reporting, commentary, and creator-led investigative material should not be rewritten in a way that hides where it came from.
- When a page mainly exists to track or organize a source, the page should not imply stronger editorial certainty than it has earned.
AI-Assisted Content
Probed may use AI-assisted systems for extraction, clustering, labeling, summaries, and draft analysis. These systems are tools, not substitutes for source review. AI-generated output can be incomplete, misleading, or overly generic, so the site treats those outputs as provisional unless they are reinforced by stronger structured context or editorial judgment.
What Counts As Original Value
A page is strongest when it contributes something a reader would not get from simply clicking through a single source: original synthesis, structured case context, multi-source comparison, document linkage, or analysis that clarifies why a development matters.
Review Expectations
Daily Digests are typically system-generated summaries. Articles may also begin as AI-generated drafts, but they receive a higher level of review, editing, and refinement before publication. The site should be explicit about which pages are primarily system-generated, which pages have received additional editorial review, and which pages are mainly tracking or organizational surfaces.
Corrections And Restraint
If a page is thin, vague, or mostly duplicative of third-party material, Probed prefers to reduce how prominently that page is surfaced rather than pretending it is fully developed editorial work. Titles, analysis, clustering, and entity linkage may be revised as the underlying record improves.
No Invented Human Attribution
Probed does not assign invented human bylines, reviewer credits, or editorial personas to pages that do not have a real author or editor behind them. Signal titles and labels may be system-generated canonical titles used to organize related coverage, and they may be revised as the underlying record changes. When AI assists with titles, summaries, or analysis, the site should disclose that clearly rather than implying a newsroom workflow or editorial attribution structure that does not yet exist.