Enhanced News-reading: Interactive and Visual Integration of Social Media Information
Florian Stoffel, Dominik Jäckle, Daniel A. Keim · KOPS (University of Konstanz) · 2014
Today, everyone has the possibility to acquire additional information sources as supplement to articles from newspapers or online news. The limitations of classical newspaper articles and restrictions of additional materials on online newsportals often lead to the situation where the reader demands additional news sources and more detailed information. When using the Internet, exploiting new information sources is a trivial task. Besides professionally administered information sources, like for example large newsportals such as cnn.com, there is a growing amount of user generated content available. Services like Twitter, Facebook or Reddit allow free discussion of any subject, giving everyone the possibility to participate. In this paper, we demonstrate an approach that combines professionally generated news content with user-generated data. This approach effectively enriches the information landscape and broadens the context of a given subject. For the presented system, we focus on Reddit, one of the biggest web portals for user-generated contents. Taking the general nature of user generated content into account, we exploit meta-data and apply Natural Language Processing (NLP) methods to allow users to filter additional information, which is also supported visually.