Testing a modular approach for Solutions Journalism
How the four pillars of Solutions Journalism — Response, Evidence, Limitations, and Insights — map onto what readers actually want to know
Modular Journalism
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.
Why Journalism Needs Structure Before AI Eats It
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.
Modular Journalism with AI Agents
Detecting user effects and mapping Information needs in automated mews pipelines
The Structure Imperative
A ‘geometric proof’ that journalism survives the AI apocalypse if and only if it adopts modular production
Modular Journalism 1.0
The original modularjournalism.com has been restored!
Agent 2 Versus the World
Engineering had nothing to do with it, and it was about journalism all along.
Rhetorical Patterns & Detection Cues
A working reference for bias detection in the Modular Journalism pipeline
User Information Needs vs. User Effects
Mapping what users want – and what gets in the way
User Needs Model and Information Needs
Bridging modular journalism's atomic information needs with user-centered news design
Modular Journalism 2.0: bias in structured news
With an example of how this applies in the case of a scientist who denies climate change.