The pervasive use of Online Social Networks (OSN) for networking, communication and search in tandem with the ubiquitous availability of smartphones, which enables real-time multimedia capturing and sharing, have led to massive amounts of user-generated content and activities being amassed online, and made publicly available for analysis and mining. Leveraging large amounts of user-generated content creates new exciting possibilities for a number of applications and services such as search and forecasting. Yet, processing such content involves facing a number of hard challenges stemming from its scale and nature, while there are also a number of important caveats when dealing with user-generated content, such as the inference and disclosure of personal information. As a result, conventional multimedia analysis methods are not sufficient to extract value from social media and web content. To this end, MKLab develops methods to tackle a number of pertinent problems:
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