When a crisis is occurring, rumors can start on Twitter and lead people away from the truth. Below are example tweets from the Boston Bombing, the Ebola outbreak, and the Ferguson unrest, all of which are false statements. @RumorDetect uses the “wisdom of crowds” to identify false statements with state-of-the-art machine learning techniques.

Boston Bombing

“Only one person was responsible for this act.”

“It was at least a team of five that did this.”

Ebola Outbreak

“Breaking news: Ghana international and AC Milan star Michael Essien has contracted Ebola, his club has confirmed.”

Ferguson Unrest

“Supposedly there might be one or two witnesses who have the shooting or part of the shooting recorded on their phones. #Ferguson”

Similar Products

These websites take a very similar approach to ours, but are different in one key way: a human manually verifies an event or topic. @RumorDetect analyzes the network propagation of a tweet throughout the Twitter graph to verify if the tweet is true or false. Our prediction takes just a few hours, with no human interference, and can be repeated for hundreds of tweets and topics .

Our Platform

Our platform at www.rumordetect.com allows people to sign in with twitter, search topics from others, or submit detection tests. You are able to tag @RumorDetect on any tweet from twitter and our platform will analyze it, outputting the confidence score and displaying the tweet information.