Abstract
Can online media predict new and emerging trends? The underlying assumption is that a direct relationship exists between trends in emerging technological and social trends and their representation in online systems. While several recent studies have focused on Google as the leading online information source to answer this question, much less attention has been given to Wikipedia in this context. We present here a study of the recently emerging Big Data market with a focus on the Hadoop ecosystem, and compare the capabilities of Wikipedia versus Google in predicting its popularity and life cycles. To this end, we developed a web platform for Wikipedia analytics, the ETOSHA platform, providing a context rich, language independent, relevance measures for upcoming and emerging trends.