Fake news is not delivered solely in the form of text, so Facebook expanded its fact-checking efforts to photos and videos for its 27 fact-checking partners in 17 countries.
Product manager Antonia Woodford said in a Newsroom post that the social network developed a machine-learning model that relies on engagement signals, including feedback from Facebook users, to identify potentially fake content.
That questionable content is then sent to fact-checkers for review, or those fact-checkers can surface content on their own.
She wrote, “Many of our third-party fact-checking partners have expertise evaluating photos and videos and are trained in visual verification techniques, such as reverse image searching and analyzing image metadata, like when and where the photo or video was taken.
WORK SMARTER - LEARN, GROW AND BE INSPIRED.
Subscribe today!
To Read the Full Story Become an Adweek+ Subscriber
Already a member? Sign in