The world of media and communication is currently experiencing enormous disruptions: from one-way communication and word of mouth exchanges, we have moved to bi- or multi-directional communication patterns. No longer can selected few (e.g. media organizations and controllers of communication channels) act as gatekeepers, deciding what is communicated to whom and what not. Individuals now have the opportunity to access information directly from primary sources, through a channel we label e'-word of mouth', or what we commonly call 'Social Media'.
A key problem: it takes a lot of effort to distinguish useful information from the 'noise' (e.g. useless or misleading information). Finding relevant information is often tedious. This challenge has become the focus of various research efforts. Many concentrate on the automatic discovery of information by adapting semantic search and retrieval technologies to the particularities of Social Media content. REVEAL, however, aims to discover higher level concepts hidden within information. In Social Media we do not only have bare content; we also have interconnected sources. We have to deal with interactions between them, and we have many indicators about the context within which content is used, and interactions taking place. A core challenge is to decipher
interactions of individuals in permanently changing constellations, and do so in real time. The project reveals much more than bare content. Further to discovering what is being said, it will determine how trustworthy that information is. It will predict contributor impact and how much or to what extent all this affects reputation or influence. This allows us to automatically judge the quality and accuracy of content, and bring us to predicting future trends with greater accuracy. The core of the work is to reveal hidden modalities for the benefit of a better understanding and utilization of the Social Media world.
Alcatel - Lucent Bell Lab, Athens Technology Center, Centre for Research and Technology Hellas, Deutsche Welle, Intrasoft International, Katholieke Universiteit Leuven, National Center for Scientific Research “Demokritos”, Software AG, Sintef, Universitaet Koblenz-Landau and University of Southampton
Core topics of Software AG:
Software AG will provide access to their online community network and will utilize business analytics mechanisms to analyze contributor behavior and profiles. One focus will be to support the collaborative handling of business processes. This would include analysis of content that does influence the creation or the redesign of a process. One outcome would be the improvement of business process reference models. Gamification will help to motivate business users to provide the real view to processes.
Project duration: November 2013 until November 2016