Research and tooling for AI-assisted, modular news: detect rhetorical effects, model user information needs, and build reliable pipelines. Or, in short: we break journalism into parts and try to make a better one from the pieces.
Modular journalism meets answer systems. A resilient linguistic framework for news, mapped user information needs, and a minimal atom schema for AI readers. Coming up with an atom-based infrastructure is the easy part. The hard part is getting publishers to understand the structure imperative — rebuilding their CMSs around atoms — and agents to respect structured attribution.
Detecting user effects and mapping Information needs in automated mews pipelines
A ‘geometric proof’ that journalism survives the AI apocalypse if and only if it adopts modular production
The original modularjournalism.com has been restored!
Engineering had nothing to do with it, and it was about journalism all along.
A working reference for bias detection in the Modular Journalism pipeline
Mapping what users want – and what gets in the way
Bridging modular journalism's atomic information needs with user-centered news design
With an example of how this applies in the case of a scientist who denies climate change.