NewsStand: a new view on news

TitleNewsStand: a new view on news
Publication TypeConference Papers
Year of Publication2008
AuthorsTeitler BE, Lieberman MD, Panozzo D, Sankaranarayanan J, Samet H, Sperling J
Conference NameProceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Date Published2008///
Conference LocationNew York, NY, USA
ISBN Number978-1-60558-323-5
Keywordsclustering, geotagging, knowledge discovery, text mining

News articles contain a wealth of implicit geographic content that if exposed to readers improves understanding of today's news. However, most articles are not explicitly geotagged with their geographic content, and few news aggregation systems expose this content to users. A new system named NewsStand is presented that collects, analyzes, and displays news stories in a map interface, thus leveraging on their implicit geographic content. NewsStand monitors RSS feeds from thousands of online news sources and retrieves articles within minutes of publication. It then extracts geographic content from articles using a custom-built geotagger, and groups articles into story clusters using a fast online clustering algorithm. By panning and zooming in NewsStand's map interface, users can retrieve stories based on both topical significance and geographic region, and see substantially different stories depending on position and zoom level.