Information Terra: A Narrative-Anchored Semantic-First Projection of Document Embeddings
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Computer Science > Human-Computer Interaction
Title:Information Terra: A Narrative-Anchored Semantic-First Projection of Document Embeddings
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.
| Comments: | 5 pages, 6 figures, accepted in IEEE VIS 2026 as a short paper |
| Subjects: | Human-Computer Interaction (cs.HC); Computation and Language (cs.CL); Information Retrieval (cs.IR) |
| Cite as: | arXiv:2606.30824 [cs.HC] |
| (or arXiv:2606.30824v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2606.30824
arXiv-issued DOI via DataCite (pending registration)
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Submission history
From: Brian Keith-Norambuena [view email][v1] Mon, 29 Jun 2026 18:52:52 UTC (2,212 KB)
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