In the era of online social networks and microblogging services, we encounter trending topics in each of such platform. Understanding such trends is not a trivial task. It requires a technical analysis of such scenario in order to infer a particular conclusion. Such analysis helps us in characterizing user or community behavior in any online social platform. In this paper, we study twitter, which is a microblogging service that provides users 140 characters to share their feelings, known as Tweets. Our study focuses on dynamics of trending topics on twitter. Understanding dynamics of trending topics helps us in finding and classifying the positive and negative campaigns done on the twitter platform.