NEW HAVEN, Conn. (AP) – A team of college students has come up with an internet browser plug-in that identifies fake and biased news stories and then steers the user to alternative articles.
The four-member team comprised of students from Yale, the California Institute of Technology and Waterloo University in Ontario won a challenge from Yale’s Poynter Fellowship in Journalism to find a way to combat fake news.
Their plug-in uses sentiment analysis technology to analyze articles for bias. It also can show a reader whether their news browsing history is balanced or not.
The group will be meeting this spring with members of Congress to discuss their creation.
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