System for spatio-temporal analysis of online news and blogs

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System for spatio-temporal analysis of online news and blogs

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International World Wide Web Conference archive
Proceedings of the 15th international conference on World Wide Web table of contents

Edinburgh, Scotland

POSTER SESSION: Browsers and UI, web engineering, hypermedia & multimedia, security, and accessibility table of contents

Pages: 929 - 930

Year of Publication: 2006

ISBN:1-59593-323-9

Author

Angelo Dalli

University of Sheffield, Sheffield, United Kingdom

Sponsors

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 5, Downloads (12 Months): 46, Citation Count: 3

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ABSTRACT

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.

CITED BY 3

	Paul Logasa Bogen, II , Joshua Johnston , Unmil P. Karadkar , Richard Furuta , Frank Shipman, Application of kalman filters to identify unexpected change in blogs, Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries, June 16-20, 2008, Pittsburgh PA, PA, USA
	Paul Logasa Bogen, II , Luis Francisco-Revilla , Richard Furuta , Takeisha Hubbard , Unmil P. Karadkar , Frank Shipman, Longitudinal study of changes in blogs, Proceedings of the 2007 conference on Digital libraries, June 18-23, 2007, Vancouver, BC, Canada
	Yang Liu , Xiangji Huang , Aijun An , Xiaohui Yu, ARSA: a sentiment-aware model for predicting sales performance using blogs, Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, July 23-27, 2007, Amsterdam, The Netherlands