The web has become an important medium for news delivery and consumption. Fresh content about a variety of topics and events is constantly being created and published on the web by many sources. As intuitively understood by readers, and studied in journalism, news articles produced by different social groups present different attitudes towards and interpretations of the same news issues. LocalSavvy explores a new paradigm for aggregating news articles according to the locations of news sources. The system provides users the capability to aggregate and browse various local views about the news issues in which they are interested.
LocalSavvy analyzes the news articles provided by users. Based on the analysis of the news issue, the system finds and aggregates local news articles published by official and unofficial news sources in the locations related to the news issue. The system acquires location related knowledge by searching and extracting web information.