Narrative Maps

نویسندگان

چکیده

Narratives are fundamental to our perception of the world and pervasive in all activities that involve representation events time. Yet, modern online information systems do not incorporate narratives their occurring over This article aims bridge this gap, combining theory narrative representations with data from systems. We make three key contributions: a theory-driven computational narratives, novel extraction algorithm obtain these data, an evaluation approach. In particular, given effectiveness visual metaphors, we employ route map metaphor design representation. The illustrates stories as series landmarks routes on map. Each element is backed by corresponding formal theory, thus providing solid theoretical background method. Our approach extracts underlying graph structure using optimization technique focused maximizing coherence while respecting structural coverage constraints. showcase performing user assess quality representation, metaphor, visualization. Evaluation results indicate Narrative Map powerful method communicate complex individuals. findings have implications for intelligence analysts, journalists, misinformation researchers.

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ژورنال

عنوان ژورنال: Proceedings of the ACM on human-computer interaction

سال: 2021

ISSN: ['2573-0142']

DOI: https://doi.org/10.1145/3432927