Gossip Garden

Coding Arts#p5.js#Node.js#Generative Art#Algorithmic Critique

ABOUT THE PROJECT

A Living Index of Algorithmic Amplification. Gossip Garden visualises the economic logic of online scandal. On social media, gossip is not casual conversation — it is a measurable, monetised asset optimized by platforms. By extracting live public data of toxic keywords, the system computes a real-time 'Gossip Index' that feeds a generative ASCII botanical ecosystem. As toxicity accumulates, the plants grow sharper and mutate, questioning whether digital toxicity is a human failure or a systemic optimization strategy.

LAUNCH PROJECT ↗

Critical Framing

Inspired by Platform Capitalism and data literacy research, Gossip Garden critiques the commodification of emotion. In digital spaces, toxicity is not an isolated social failure — it is a calculated optimization strategy. Platforms reward intensity; a garden implies cultivation. If toxicity grows faster than care, we must inevitably ask: Who is watering it?

• Anonymized Metrics• Zero Raw Text Storage• GDPR Compliant Architecture

Algorithmic Index Calculation

// Real-time Dynamic Gossip Index Formula

Gossip Index = (Negative Sentiment × Interaction Volume × Post Frequency) / Time Window

* Aggregated metrics updated periodically via Node.js server. No user metadata retained.

Data-to-Botany Translation Matrix

Data Input	Generative Visual Behaviour
Post Volume	Trunk height accumulation
Engagement Rate	Branching density & complexity
Negativity Level	Sharpness of structural growth
Toxicity Score	Thorn formation & structural defense
Sudden Data Spikes	Bloom / glowing burst events
Sustained High Metric	Root system ecological expansion

Iterative Evolution Phases

Phase 1 – Perlin-Noise Branched Roots

Initial linear branch system driven by basic Perlin-noise mapped to engagement weight.

Phase 2 – Organic Volumetric Glow

Replaced basic line strokes with vector filled-forms and canvas shadow-blur glow profiles.

Phase 3 – Material Canvas Texture

Introduced multi-layer watercolor blur diffusions, saturation nodes, and granular fiber paper noise textures.

Phase 4 – Ecological Persistence Mechanism

Plants no longer reset on keyword changes. Growth accumulates to layer digital attention memory.

Phase 5 – Typographic ASCII Dot-Matrix Texture

Surfaces transformed into an organic typographic matrix, referencing computational infrastructure and raw data materiality.