TweetCred: Real-Time Credibility Assessment of Content on Twitter

Understand

During sudden onset crisis events, the presence of spam, rumors and fake content on Twitter reduces the value of information contained on its messages (or "tweets").

• A possible solution to this problem is to use machine learning to automatically evaluate the credibility of a tweet, i.e.
• whether a person would deem the tweet believable or trustworthy.
• This has been often framed and studied as a supervised classification problem in an off-line (post-hoc) setting.