mlsanityData to 7 Oct 2026

Interactive Narrative Analytics: Bridging Computational Narrative Extraction and Human Sensemaking

arXiv 2601.11459 ↗First posted 16 Jan 2026cs.HC cs.AI cs.CLcited by 4

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Abstract (arXiv)

Information overload and misinformation create significant challenges in extracting meaningful narratives from large news collections. This paper defines the nascent field of Interactive Narrative Analytics (INA), which combines computational narrative extraction with interactive visual analytics to support sensemaking. INA approaches enable the interactive exploration of narrative structures through computational methods and visual interfaces that facilitate human interpretation. The field faces challenges in scalability, interactivity, knowledge integration, and evaluation standardization, yet offers promising opportunities across news analysis, intelligence, scientific literature exploration, and social media analysis. Through the combination of computational and human insight, INA addresses complex challenges in narrative sensemaking.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 40 of its 115 references that are in the map. First posted on arXiv 16 Jan 2026.

Builds on

40 of 115 references.

References · 40

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28 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 4.

4 papers.

  1. 2026Semantic Interaction for Narrative Map Sensemaking: An Insight-based Evaluationcited by 2
  2. 2026Agenda-based Narrative Extraction: Steering Pathfinding Algorithms with Large Language Modelscited by 1
  3. 2026Information Terra: A Narrative-Anchored Semantic-First Projection of Document Embeddingscited by 0
  4. 2026ILM: An AI-Powered Storytelling Educational Toolcited by 0