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arxivcs.HCcs.CLcs.IR2026-06-29

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

Brian Keith-Norambuena, Fausto German, Chris North

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.

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The machine can say it but cannot hear it. Designed affective patterns and the expressive-sensing asymmetry in human-machine communication

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