Adaptive spatial hypermedia in computational journalism

Authors:
Luis Francisco-Revilla;Alvaro Figueira
Affiliations:
The University of Texas at Austin, Austin, TX, USA;Universidade do Porto, Porto, Portugal
Venue:
Proceedings of the 23rd ACM conference on Hypertext and social media
Year:
2012

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Abstract

Computational journalism allows journalists to collect large collections of information chunks from separate sources. The analysis of these collections can reveal hidden relationships between of relationships, but due to their size, diversity, and varying nuances it is necessary to use both computational and human analysis. Breadcrumbs PDL is an adaptive spatial hypermedia system that brings together human cognition and machine computation in order to analyze a collection of user-generated news clips. The project demonstrates the effectiveness of spatial hypermedia in the domain of computational journalism.