将计算叙事提取与交互可视化结合，助力复杂新闻信息的理解。
Interactive Narrative Analytics: Bridging Computational Narrative Extraction and Human Sensemaking
- 用计算方法+交互界面探索叙事结构。
- 支持新闻、情报、社交媒体等多场景分析。
- 适合需要深度信息理解的研究者与决策者。
信息过载与虚假信息给从大规模新闻集合中提取有意义的叙事带来巨大挑战。本文定义了新兴领域——交互式叙事分析（Interactive Narrative Analytics, INA），该领域融合计算叙事提取与交互式视觉分析，以支持信息意义构建。INA方法通过计算手段与可视化界面实现对叙事结构的交互式探索，促进人类对信息的理解。尽管面临可扩展性、交互性、知识整合及评估标准化等挑战，其在新闻分析、情报处理、科学文献探索及社交媒体分析等领域展现出广阔前景。通过计算与人类洞察的结合，INA有效应对复杂叙事理解难题。
原文摘要 · Abstract (English)
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.
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