One of the most challenging aspects of social media is figuring out how to efficiently verify information and stop the spread of misinformation during breaking news situations.
Hurricane Sandy gave rise to a variety of efforts to try and identify and debunk fake images that were circulating on social media. News outlets like The Atlantic, BuzzFeed and the blog “Is Twitter Wrong?” all attempted to verify images in as close to real-time as possible, and spread word about the fakes.
But what if we could automate that process during crisis situations like Sandy?
A recent paper presented by researchers from the Indraprastha Institute of Information Technology, IBM Research Labs and the University of Maryland found that it was possible to identify tweets containing fake Sandy images with up to 97 percent accuracy.Read more