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The European project LinkedTV aims to integrate television content with Web content through the use of automated techniques such as named entity extraction and semantic linking. In order to obtain knowledge about applying this technology to news programs we conducted a user study. In the study [1] we identified users’ current habits and requirements in terms of information needs and user experience for consuming the news.

We found that, content-wise, TV newscasts and online news are considered as complementary and users often consult both types of sources. Participants of the user study indicated they want support for two main information seeking tasks: looking up factual information about the actors and concepts in the news and further exploring the topic of the news item. We identified 5 specific dimensions for the exploration: i) as it was portrayed by different sources ii) through the opinion of different authors iii) through in-depth articles iv) through a timeline of past related events and v) from the point of view of common people situated where the event takes place.