Could AI Enable The Idea Of 'Reverse Fact Checking'?

Fact checking today is a reactive process in which journalists wait for a falsehood to begin spreading virally and then publish their final verdict long after the falsehood's spread has tapered off and the damage done. Much of this delay stems from the amount of time and research it takes for fact checkers to investigate a claim and determine its veracity. What if we inverted this process and required every social media post to provide external attribution for its claims and used deep learning algorithms to compare the statements in the post to the original material it cites as its source? Could this "reverse fact checking" largely curb the spread of digital falsehoods? The greatest limitation of today's fact checking landscape is the time and effort it takes fact checkers to investigate a claim.