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  2. How we track topics

Content Categories and Autotagging

Content Categories track the characteristics of your journalism that drive engagement.

Metrics for News has a few default Content Categories that will show up across your dashboards:
  • Topic: What the story was essentially about (Government, Arts, Education, Business, etc.)
  • Author Type: Which kind of person wrote the story (Staff, Freelancer, Contributor, etc.)
  • Enterprise Level: The story format (Brief, Regular Story, Feature Story, Column, etc.)
Many types of Content Categories can be applied to stories by Automated Tagging, which uses custom tagging rules or machine-learning.

What is Learning Mode?


The Metrics for News application begins in Learning Mode until you have imported at least 1,000 stories. During this time, Metrics for News is studying the content to learn what topics and story forms you produce. When Learning Mode is complete, Metrics for News will automatically create Content Categories for certain topics and story forms that it has recognized. Those Content Categories will be applied to future content by our automated tagging engine.