VANCOUVER, British Columbia — Humans and machines worked together to help train an artificial intelligence — AI — model that outperformed other clickbait detectors, according to researchers at Penn State and Arizona State University. In addition, the new AI-based solution was also able to tell the difference between clickbait headlines that were generated by machines — or bots — and ones written by people, they said.
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One of the big topics in media literacy is what is called "click bait" which seduces readers into clicking on links for fake news stories.
In the time of digital media where every person with an internet account can become an author, publisher, and distributor editorial vetting is a quaint practice from the past.
As we have learned from disinformation introduced into our 2016 presidential campaign, robots can be programed to flood digital media such as Facebook, Twitter, Instagram with increasingly false and misleading information and narratives.
How is even a critical, media literate person able to discern the authentic news story from a fake one? It is interesting how computer algorythms are beling trained to help with the task.
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