  Having more followers has become a norm in recent social media and
micro-blogging communities. This battle has been taking shape from the early
days of Twitter. Despite this strong competition for followers, many Twitter
users are continuously losing their followers. This work addresses the problem
of identifying the reasons behind the drop of followers of users in Twitter. As
a first step, we extract various features by analyzing the content of the posts
made by the Twitter users who lose followers consistently. We then leverage
these features to early detect follower loss. We propose various models and
yield an overall accuracy of 73% with high precision and recall. Our model
outperforms baseline model by 19.67% (w.r.t accuracy), 33.8% (w.r.t precision)
and 14.3% (w.r.t recall).
