System for spatio-temporal analysis of online news and blogs

Previous work on spatio-temporal analysis of news items and other documents has largely focused on broad categorization of small text collections by region or country. A system for largescale spatio-temporal analysis of online news media and blogs is presented, together with an analysis of global news media coverage over a nine year period. We demonstrate the benefits of using a hierarchical geospatial database to disambiguate between geographical named entities, and provide results for an extremely fine-grained analysis of news items. Aggregate maps of media attention for particular places around the world are compared with geographical and socio-economic data. Our analysis suggests that GDP per capita is the best indicator for media attention. Categories and Subject Descriptors H.5.4 [Information Interfaces and Presentation]: Hypertext/Hypermedia; H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval; J.4 [Social and Behavioral Sciences]: Economics and Sociolog...

• Type: Conference
• Year: 2006
• Where: WWW
• Authors: Angelo Dalli
• Keywords: Geographical Named Entities, Internet Technology, Largescale Spatio-temporal Analysis, Media Attention, WWW 2006