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Data & Insights

One of NewsTeam’s core principles is that every piece of content should be data-rich. From the article itself down to individual widgets, every element is stored with detailed metadata. This allows us to not only publish stories today but also build a knowledge base that grows more valuable over time.

  • Granular Metadata: Articles capture language, location, and mentioned entities (people, companies, places, events, etc.).
  • Widget-Level Data: Even embedded elements — like videos or social posts — can be enriched with metadata, such as tagging the people or organizations featured.
  • Cross-Linking: This structure connects stories, creators, sponsors, and assets in meaningful ways.

Our goal is to provide the most complete data structure of what an article is in 2025 — not just what is needed for a webpage, but what unlocks future use cases and products.

In version 1, data is captured and stored but not yet visualized. In future releases, NewsTeam will ship first-party, interactive dashboards to help you explore and understand your content:

  • What elements make up your stories most often
  • Breakdown of production by creators or teams
  • Staff productivity metrics and contribution analysis
  • High-level performance insights by sites, feeds, or content type

These dashboards will give editorial and business teams a shared view of how content is being created, distributed, and consumed.

Every newsroom has an archive, but too often it’s underutilized. With NewsTeam, the archive becomes a knowledge database:

  • Smart Indexing: Powerful search and metadata tagging make old content easier to discover and reuse.
  • Contextual Surfacing: When writing a new article, the system can surface related archival content — for example, past stories about the same person, company, or event.
  • Long-Term Value: Instead of sitting idle, your archive actively supports your journalism and workflows.

Combined with the Messaging & Activity system, the archive can become part of the daily workflow — surfacing relevant context and history right where your team is collaborating.

By structuring data at every level, NewsTeam opens the door to advanced applications:

  • Recommendation Systems (future): Built-in engines will help suggest content placements to feeds, highlight related articles, and surface trending or relevant archive pieces.
  • Audience Engagement: Data can fuel personalized experiences for readers across your sites and apps.
  • Editorial Insight: Spot coverage gaps, over-represented topics, or high-performing content patterns to guide newsroom strategy.
  • AI Assistance: Enable smarter tools for journalists, such as entity extraction, auto-tagging, and contextual prompts when creating new content.

In short: NewsTeam is designed not just to store your content, but to turn data into insight and make your archive an active partner in the storytelling process.