Adaptive spatial hypermedia in computational journalism

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Francisco Revilla, L (Author) Other; Figueira, A (Author) FCUP

Conference proceedings International

Title: HT'12 - Proceedings of 23rd ACM Conference on Hypertext and Social Media

Pages: 313-314

23rd ACM Conference on Hypertext and Social Media, HT'12

Milwaukee, WI, 25 June 2012 through 28 June 2012

Indexing

ISI Web of Knowledge

Scopus - 3 Citations

Other information

Authenticus ID: P-008-50T

DOI: 10.1145/2309996.2310050

Abstract (EN): 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 usergenerated news clips. The project demonstrates the effectiveness of spatial hypermedia in the domain of computational journalism.

Language: English

Type (Professor's evaluation): Scientific