Conference
System for spatio-temporal analysis of online news and blogs
| Title: | System for spatio-temporal analysis of online news and blogs |
|---|---|
| Authors: | Dalli, Angelo, 4th Computer Science Annual Workshop (CSAW’06) |
| Publisher Information: | University of Malta. Faculty of ICT |
| Publication Year: | 2006 |
| Collection: | University of Malta: OAR@UM / L-Università ta' Malta |
| Subject Terms: | Spatial analysis (Statistics) -- Software, Geospatial data -- Data processing, Geographic information systems |
| Description: | 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 large- scale 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. ; peer-reviewed |
| Document Type: | conference object |
| Language: | English |
| Relation: | https://www.um.edu.mt/library/oar//handle/123456789/22572 |
| Availability: | https://www.um.edu.mt/library/oar//handle/123456789/22572 |
| Rights: | info:eu-repo/semantics/openAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. |
| Accession Number: | edsbas.E5BE65AE |
| Database: | BASE |
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