Information Terra: A Narrative-Anchored Semantic-First Projection of Document Embeddings

📅 2026-06-29
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
This work proposes a semantics-first spherical projection method to construct interpretable, narrative-aware low-dimensional visualizations from high-dimensional document embeddings. By designating two user-specified documents as poles, the approach defines meridians via hyperspherical geodesics, where latitude encodes narrative progression and longitude captures thematic deviation. Kernel density estimation is integrated to generate terrain-like features and semantic labels on the sphere. The method introduces a novel narrative-anchor-driven spherical layout, ensuring monotonic story progression through a narrative coherence graph and supporting interactive rotation and antipodal reading. Evaluated on a corpus of 540 news reports covering Cuban protests, the framework successfully reconstructs a coherent narrative arc—from Obama’s 2016 visit to Cuba through to international aid efforts in 2021—demonstrating both its effectiveness and interpretability.
📝 Abstract
We introduce Information Terra, a narrative-anchored semantic-first projection that places a document corpus on an Earth-like globe whose poles are two user-chosen endpoint documents and whose prime meridian is the great-circle geodesic between them on the embedding hypersphere -- so latitude encodes narrative progress and longitude thematic deviation. Land features are recovered from document density via kernel density estimation and labeled by theme. A narrative trail built from the underlying narrative coherence graph, and constrained to be monotone in geodesic progress, provides a readable storyline. The projection's axes are semantically grounded in the user's chosen narrative endpoints, and the globe metaphor affords rotation and antipodal reading. We demonstrate the method on a 540-article Cuban Protests corpus, showing a storyline from Obama's 2016 visit to the 2021 International Aid during the protests.
Problem

Research questions and friction points this paper is trying to address.

document embeddings
narrative projection
semantic visualization
corpus exploration
geodesic narrative
Innovation

Methods, ideas, or system contributions that make the work stand out.

narrative-anchored projection
semantic-first visualization
document embedding globe
narrative coherence graph
geodesic progress
🔎 Similar Papers
No similar papers found.