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.

翻译：信息过载与虚假信息为从大规模新闻集合中提取有意义叙事带来了重大挑战。本文界定了新兴的交互式叙事分析领域，该领域将计算叙事提取与交互式可视分析相结合，以支持意义建构过程。INA方法通过计算手段与促进人类解读的可视化界面，实现对叙事结构的交互式探索。该领域在可扩展性、交互性、知识整合及评估标准化方面面临挑战，但在新闻分析、情报研判、科学文献探索和社交媒体分析等领域展现出广阔前景。通过计算智能与人类洞察的有机结合，INA为应对叙事意义建构中的复杂挑战提供了有效途径。