WM (Words Matter) is a concept platform that redefines how users collect and share information online. Drawing from cognitive psychology - short-term vs. long-term memory - it separates fast reactions from meaningful insights. The experience encourages reliability, source-checking, and critical thinking, while shaping more human, respectful interactions, between users and the interface.
Most social platforms amplify noise and popularity over truth. Users feel overwhelmed, unsure what to trust, and exposed to misleading content. This highlighted the need for an anti-hierarchical system that reduces information pollution and creates a calm, safe space for discovering quality content - without chasing likes or status.
I examined how people interpret information online and what helps them feel informed, confident, and understood.
“I don’t trust most sources.”
Early sketches featured an algorithmic 'Trust Meter'. Research showed users distrust system ratings, so the design pivoted to Source Transparency—empowering users to investigate context rather than relying on a score.
WM uses a calm, neutral color palette to support a non-hierarchical, human-centered experience. The design avoids loud or competitive tones, aiming for clarity and trust.
A clear distinction between noise and signal. Short-term updates automatically expire after 24 hours to prevent backlog, keeping the main feed reserved exclusively for high-value, permanent content.
To filter out noise, the publishing flow rewards effort. The more context and attribution a user provides during drafting, the higher their post ranks in the global feed - creating a quality-first ecosystem.
A user-controlled toggle that hides visual distractions, allowing for a "Deep Work" reading experience.
WM introduces a more intentional way to navigate information online - one that values understanding over competition. The system balances the need to verify and structure digital knowledge with the need to preserve warm, human interactions between users. It demonstrates how UX design can cut through noise, support meaningful contribution, and guide people toward content that’s genuinely useful.
