New machine learning model can identify fake news sources more reliably

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Fake news is a perennial problem but really begins to ramp up in the election season as conspiracy theories and misinformation by bad actors aim to manipulate voters. As the US election comes down to the wire in one of the closest races yet, Ben-Gurion University of the Negev researchers have developed a method to help fact-checkers keep up with the increasing volumes of misinformation on social media.


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