Online information overloads us because it is no longer geographically, materially, or socially constrained. Since we can no longer rely on legacy captured institutions, we must make sense of a volatile world ourselves.

Therefore, we need an information architecture that can:

• Reliably create and share source trust data without centralized gatekeepers,
• Consistently evaluate the causal truth of claims across fragmented data streams, and
• Use verified claims to continuously improve network-wide source trust vectors.

To support these critical operational needs, I envisioned:

• An Ontology-Driven Source Evaluator to index information nodes,
• A User-Centered Claim Evaluator to unpack complex arguments, and
• Combined, an Iterative Truth Propagation Process to dynamically scale shared understanding.

I created this initial mobile prototype with React Native so it deployed natively across iOS (iPhones, iPads, Apple TVs) and Android. Because users have largely converged to only ingesting information that they subscribe to via closed newsletters, algorithmic feeds, or niche platforms (e.g., Google News, Apple News+, etc.), I focused the interface on mapping and following specific authors you already know and trust.

I tested this mobile app sandbox with friends and family members, and found critical diagnostic bottlenecks:

• The Extraction Trap: Critical information often takes the form of clickbait headlines and is hidden behind predatory corporate paywalls because legacy companies are incentivized by profit extraction, not human cognitive clarity. However, this data remains vital for us to make good decisions and govern our operations.
• The Cognitive Failure: Users are still heavily overloaded by the sheer volume of news articles published every single day. A linear mobile feed is a failed interface substrate for handling high-velocity, multi-variable data streams.
• The Platform Barrier: People do not want to download yet another centralized mobile app—especially for a high-consequence sensemaking task they do not perform on a casual, everyday basis.