Adaptive spatial hypermedia in computational journalism

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Francisco Revilla, L (Autor) Outra; Figueira, A (Autor) FCUP

Ata de Conferência Internacional

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

Páginas: 313-314

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

Milwaukee, WI, 25 June 2012 through 28 June 2012

Indexação

ISI Web of Knowledge

Scopus - 3 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica