PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Detecting Macro-patterns in the European Mediasphere
Ilias Flaounas, Marco Turchi and Nello Cristianini
In: 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 15-18 September 2009, Milan, Italy.


The analysis of the contents of news outlets has been the focus of social scientists for a long time. However, content analysis is often performed on hand-coded documents, which limits the size of the data accessible to the investigation and consequently limits the possibility of detecting macro-trends. The use of text categorisation, clustering and statistical machine translation (SMT) enables us to operate automatically on vast amounts of news items, and consequently to analyse patterns in the content of outlets in different languages, over long time periods. We report on experiments involving hundreds of European media in 22 different languages, demonstrating how it is possible to detect similarities and differences between outlets, and between countries, based on the contents of their articles.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:5654
Deposited By:Ilias Flaounas
Deposited On:08 March 2010