Exploratory Search on Social Media

Aaron Ruß, Michael Kaisser

In: Pavel Serdyukov , Pavel Braslavski , Sergei O. Kuznetsov , Jaap Kamps , Stefan Rüger , Eugene Agichtein , Ilya Segalovich , Emine Yilmaz (editor). Advances in Information Retrieval: 35th European Conference on IR Research. European Conference on Information Retrieval (ECIR-13) March 24-27 Moscow Russia Pages 845-848 Lecture Notes in Computer Science (LNCS) 7814 ISBN 978-3-642-36973-5 Springer Berlin Heidelberg 2013.


The rise of Social Media creates a wealth of information that can be very valuable for private and professional users alike. But many challenges surrounding this relatively new kind of information are yet unsolved. This is true for algorithms that efficiently and intelligently process such data, but also for methods of how users can conveniently access it and how results are displayed. In this paper we present a tool that lets users perform exploratory search on several Social Media sites in parallel. It gives users the opportunity to explore a topic space, and to better understand facets of current discussions.

Weitere Links

Russ,_Kaisser_(2013)_Exploratory_Search_on_Social_Media__self-published.pdf (pdf, 410 KB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz