Automatic enhancement of Internet broadcasted news has been recently gaining increasing importance and interest. Existing applications and models of textual Event Detection in online media are based on the analysis of news distributed via RSS (Rich Site Summary called also Really Simple Syndication) channels or available at news websites. It assumes that each piece of news is equally available to the reader and, therefore, describes an event with the same weight. However every online news website has a special place, located in the most viewed part, in which publishers manually include news they decide are the most valuable (Top News). By combining all Top News from multiple news websites and plotting them into corresponding events we would be able to deliver a tool to track development of most important events. Additionally, an analysis of publishers’ choices of the Top News would provide supplementary information about their profile, bias and professionalism.
Authors
Additional information
- Category
- Publikacja monograficzna
- Type
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Language
- angielski
- Publication year
- 2016
