A team of researchers at the University of Washington’s Center for an Informed Public has found social media platform managers could dramatically reduce the spread of misinformation on their sites by combining just a few simple measures. In their paper published in the journal Nature Human Behavior, the group used Twitter data associated with the 2020 presidential election to create a model capable of predicting the spread of misinformation. The editors at Nature Human Behavior have also posted a short summary of the findings by the group in the same journal issue.
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Source: Phys.org