This paper addresses important technical issues in browsing heterogeneous unstructured multimedia feeds on consumer mobile devices derived from social network contents. We will first present several pressing technical challenges associated with creating a browsing system that can summarize information overloading unstructured social media feeds and produce a novel GIST, namely, Graphical Intelligent Semantic Transform, for effective and visually pleasing browsing on a mobile device by the social media users. We will then illustrate innovative solutions to solving a suite of interdisciplinary problems associated with developing such a system. Preliminary results will be shown to demonstrate the feasibility of creating such a GIST for browsing information overloading social media feeds on consumer mobile devices.