About 60% of adults in the US who get their news through social media have, largely unknowingly, shared false information, according to a poll by the Pew Research Center. The ease at which disinformation is spread and the severity of consequences it brings - from election hacking to character assassination - make it an issue of grave concern for us all.
One of the best ways to combat the spread of fake news on the internet is to understand where the false information was started and how it was disseminated. And that’s exactly what Camille Francois, the chief innovation officer at Graphika, is doing. She’s dedicated to bringing to light disinformation campaigns before they take hold.
Francois and her team are employing machine learning to map out online communities and better understand how information flows through networks. It’s a bold and necessary crusade as troll farms, deep fakes, and false information bombard the typical internet user every single day.
Francois says, “this work is two parts technology, one part sociology. The techniques are always evolving, and we have to stay one step ahead." We sit down with Francois for an in-depth discussion on how the tech works and what it means for the dissemination of information across the internet.
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