Read the text.
Fake news is still a problem. Is AI the solution?
Human fact-checkers can't keep up with the flood of fraudulent stories, images, and videos.
by David Cox
Fake news is fueled in part by advances in technology — from bots that automatically fabricate headlines and entire stories to computer software that synthesizes Donald Trump’s voice and makes him read tweets to a new video editing app that makes it possible to create authentic-looking videos in which one person’s face is stitched onto another person’s body.
But technology, in the form of artificial intelligence, may also be the key to solving the fake news problem — which has rocked the American political system and led some to doubt the veracity even of reports from long-trusted media outlets.
Experts say AI systems would help fill the gaps left by Snopes, Truth or Fiction, and other online fact-checking outlets, whose human fact-checkers lack the bandwidth to evaluate every article that appears online. These systems could also work with various fake news alert plugins available from Google’s web store, such as the browser extension, This is Fake, which uses a red banner to flag debunked news stories on your Facebook newsfeed
“All of the current systems for tracking fake news are manual, and this is something we need to change as the earlier you can highlight that a story is fake, the easier it is to prevent it going viral,” says Delip Rao, founder of the San Francisco-based AI research company Joostware and organizer of the Fake News Challenge, a competition set up within the AI community to foster development of tools that can reliably spot fake content.
Available at: https://www.nbcnews.com/mach/science/fake-news-still-problem-ai-solution-ncna848276. Access on: February 2018.
According to the text, read the options and choose the CORRECT alternative.
I. Technology with certain computer programs as bots and video editing apps fuel fake news nowadays.
II. Long-trusted media outlets and forms of artificial intelligence can solve some fake news problems.
III. Human fact-checkers are not capable to evaluate if articles are fake or not.
IV. Developing current systems, as they are still manual, will help to point out if a story is fake or not.
