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fake information is still going viral and spreading rapidly.”  Me-
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              lissa Zimdars, an assistant professor of communication and me-
              dia at Merrimack College agrees that Facebook’s fact-checking
              system to combat fake news is falling short. “My initial read on
              it is it’s ultimately kind of a PR move. It’s cheap to do. It’s easy.
              It doesn’t actually require them to do anything.”  Others point
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              out that these companies make money through advertising and
              by generating more user engagement with content—regardless

              of whether that content is true or false. Critics say this revenue
              model gives them little incentive to shut down fake news, espe-
              cially if it decreases their profits.


              Artificial Intelligence

              The sheer volume of fake news spreading across the Internet
              makes it impossible for human users to find, identify, and remove
              every fake story, picture, and video. Therefore, several tech com-
              panies are developing computer algorithms and artificial intelli-
              gence (AI) tools that can be used to identify suspicious stories.
              One such company, AdVerif.ai, began public testing of its new AI
              software in 2017. According to the company, the software can
              detect fake stories, nudity, malware, and other unwanted content.
              It does this by scanning content and searching for common signs
              that something is wrong, such as a headline that does not match
              body text or a headline with too many capital letters. (This is simi-
              lar to how people can recognize phishing e-mails by the number
              of misspelled words and grammatical errors.) The software also
              cross-checks each story with a frequently updated database of
              thousands of fake and real stories. The company provides its cli-
              ents with a report for each story the software has reviewed and
              assigns a score that assesses the likelihood that it is factual.
                 In testing, the AdVerif.ai program correctly classified articles
              from the Onion as satire. The software also identified a Twitter
              account that used a logo but promoted links that were not as-
              sociated with the brand it was portraying. It correctly identified a




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