Complementary information retrieval for cross-media news content
Proceedings of the 2nd ACM international workshop on Multimedia databases
Voting and political information gathering on paper and online
CHI '05 Extended Abstracts on Human Factors in Computing Systems
A multi-criteria content-based filtering system
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Tracking multiple topics for finding interesting articles
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Exploring the characteristics of opinion expressions for political opinion classification
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Mitigating media bias: a computational approach
Proceedings of the hypertext 2008 workshop on Collaboration and collective intelligence
Semantic annotation, indexing, and retrieval
Web Semantics: Science, Services and Agents on the World Wide Web
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In this paper, we describe the preliminary steps of a research idea to improve the information retrieval of political news, in order to manage and personalize political news for citizens and politicians. Using a program algorithm with some ontology, we propose a future study of political news taking in consideration the Mexican Case. This poster presents the problem, describes the algorithm functions and designs the study case for measuring Mexican political news in the forthcoming midterm election. Finally, we address some possible conclusions and future research