Classification algorithms for NETNEWS articles
Proceedings of the eighth international conference on Information and knowledge management
A clustering method for news articles retrieval system
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
NewsInEssence: summarizing online news topics
Communications of the ACM - The digital society
A new framework for analyzing political news
Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government
Aspect-level news browsing: understanding news events from multiple viewpoints
Proceedings of the 15th international conference on Intelligent user interfaces
Does clustered presentation lead readers to diverse selections?
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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The bias in the news media is an inherent flaw of the news production process, spanning news gathering, writing, and editing stages. Producer's subjective valuation, wittingly or unwittingly, takes place during the daily production process. The resulting bias often causes a sharp increase in political polarization and in the cost of conflict on social issues such as Iraq war [3]. It is very difficult, if not impossible, for readers to have penetrating views on realities against such bias. We propose NewsCube, a novel Internet news service framework aiming at mitigating the effect of media bias. NewsCube is designed to automatically create and promptly provide readers with multiple classified viewpoints on a news event of interest. It helps readers to easily discover rich facts and compare diverse biased views on the event. In this paper, we discuss the design of the NewsCube framework and introduce novel approaches which are under development.