LegitNews Trust Layer

Methodology

LegitNews combines curated source intake, editorial records, translation support, and ranking heuristics to present a faster global-news overview without pretending every signal is equally important. The public surface is shaped by filtering and editorial usefulness, not only by publication time.

Inputs

The system blends approved stored events with a curated live-source pool. Regional diversity matters, so the public product is not intended to depend only on US and UK publishers.

Ranking

Story order reflects confidence, recency, source quality, verification state, brief richness, source diversity, and geographic spread rather than raw publication time alone.

Topic lanes

Markets, Conflicts, Policy, and Science lanes group related stories into clearer reader journeys so users can scan developments by theme instead of only by a single ranked list.

Reader-facing metadata

The product uses canonical URLs, social tags, trust cues, explanatory labels, and public policy pages so readers can understand what each screen represents and how the content was handled.

How a story reaches the public site

  1. Sources enter through the curated live pool or approved stored records.
  2. Titles and summaries are cleaned so raw feed formatting does not become the public reading experience.
  3. Duplicates and low-quality variants are reduced before a story is surfaced prominently.
  4. Ranking signals help order items by usefulness, urgency, and source quality.
  5. Only approved and verified items are intended for the public homepage.

What the ranking tries to balance

Translations and summaries

LegitNews can translate and summarize material for Polish and English readers, but the public goal is still clarity rather than machine verbosity. Summaries should help a reader understand why an item matters without replacing the original source.

Limitations

No automated pipeline is perfect. A fast global-news product can still miss context, under-rank a developing story, or need a correction after a source updates its reporting. That is why visible attribution, editorial review, and update paths matter as much as automation.

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