Conference Paper

Why Did They #Unfollow Me? Early Detection of Follower Loss on Twitter

Fulltext URI

Document type

Text/Conference Paper

Additional Information



Journal Title

Journal ISSN

Volume Title


Association for Computing Machinery


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).


Maity, Suman Kalyan; Gajula, Ramanth; Mukherjee, Animesh (2018): Why Did They #Unfollow Me? Early Detection of Follower Loss on Twitter. Proceedings of the 2018 ACM International Conference on Supporting Group Work. DOI: 10.1145/3148330.3154514. Association for Computing Machinery. pp. 127–131. Sanibel Island, Florida, USA