The number of people using social networking sites such as Twitter, face book, instagram is exponentially
increasing every day. These destinations not just go about as a stage for remaining associated with companions and trading
conclusions and belief systems, yet additionally help to share and spread data. During many such events, social media has
been used to spread gossip and cause havoc and panic among the people, thus worsening the situation. In this project, we try
to automatically detect the gossip spreading on Twitter and identify its source. Using some of the gossip posted during the
London Riots in 2011 and some non- gossip, we trained a classifier. Our classifier correctly classifies the tweets with high
accuracy.
