Temporal Narrative Monitoring in Dynamic Information Environments
Comprehending the information environment (IE) during crisis events is challenging due to the rapid change and abstract nature of the domain. Many approaches focus on snapshots via classification methods or network approaches to describe the IE in crisis, ignoring the temporal nature of how information changed over time. This work presents a system-oriented framework for modeling emerging narratives as temporally evolving semantic structures without requiring prior label specification. By integrating semantic embeddings, density-based clustering, and rolling temporal linkage, the framework represents narratives as persistent yet adaptive entities within a shared semantic space. We apply t...
| Authors | David Farr, Stephen Prochaska, Jack Moody et al. |
|---|---|
| Primary category | cs.SI |
| Published | 18 March 2026 |
| Last updated at source | 18 March 2026 |
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