About
About VideoGenNews
VideoGenNews is a specialist publication focused on AI video tools, model behavior, workflows, and policy.
Mission
Publish clear, source-linked reporting on AI video products and ecosystem changes.
Our reporting standards and source-label system are documented on the Methodology page.
Ownership and funding
VideoGenNews is independently operated by the VideoGenNews Desk.
Current revenue channels: sponsorships and newsletter placements. Sponsored material is labeled.
Editorial standards
- Every story includes an author and visible publish/update timestamps.
- Material claims are tied to visible sources, with source tiers shown on article pages.
- Corrections are published visibly and timestamped.
- News and analysis are labeled by content type.
- We prioritize official release notes, product docs, and on-record statements for factual claims.
Reporting workflow
- Each story is desk-owned and has a named reporter or desk byline.
- Primary-source coverage is preferred; secondary context is labeled as context.
- When facts change, we update the story timestamp and append correction notes when needed.