Big Data Analysis and Data Mining

Social Media today is a platform for millions of active users globally to share their content. Each second, there are thousands of messages or comments posted on different social networks. With these staggering numbers of user generated content (UGC), challenges are bound to surface. One such challenge is to assess the quality of UGC in social media because the content generated in social media could have positive or negative impact on fellow users and common people too. Low quality content not only impacts the users’ content browsing experience, but also deteriorate the aesthetic value of social media. Therefore, our aim is to assess the quality of content accurately to promote the propagation of high quality content. Successful assessment of quality of UGC in social media fosters the growth of high utility UGC, which could be used by other applications and organizations for societal or organizational benefits. In this paper, we propose a deep learning based model, that leverages the quality assessment of UGC. The experimental results demonstrate that our proposed model results in high accuracy and low loss.