Enabling social media content quality assurance using social network analysis

User Generated Content (UGC) is one of the bases of Web2.0, its quality control a critical issue. This paper describes the work done at T-Laboratories to specify and develop an innovative adaptable Quality Management System for UGC leveraging ranking, priorization and content exclusion of UGC. The Content Quality Assurance System (CQA System) is an innovative modular combination of multimedia mining aiming to serve different types of content platforms, especially those based on UGC (i.e. online communities). One of the pillar technologies used in our system is Social Network Analysis (SNA). SNA methods to calculate KPI'S between social connections and evaluated and rated content objects have been proved to provide a more complete and valued insight for content compliance, community controlling, and identification of valuable users and contents inside a community. SNA metrics propose qualitative user centered analysis of the community life cycle versus traditional volume-based measures, enabling efficient community gardening and community marketing with new innovative content management use cases. Our combination of SNA methods with traditional content mining technologies proposes enhanced identification of relevant users and content, focused intervention (incentivation), social media relevance engines, multimedia content analysis overcoming the reality of immature technologies for i.e. UGC-video. Next steps will enhance our CQA System for major communities support, and extend the concept for other content management areas.