, performed an algorithmic audit to examine if YouTube'ssystem acted as a"rabbit hole," leading users searching for vaccine-related videos to anti-vaccine content.
The team then used machine learning methods to classify anti-vaccine content, analyzing more than 27,000 video recommendations made by YouTube. "We wanted to learn about how different entities were using the platform to disseminate their content so that we could develop recommendations for how YouTube could do a better job of not pushing misinformation," said UN Global Pulse researcher Katherine Hoffmann Pham, a co-author of the study."Contrary to public belief, YouTube wasn't promoting anti-vaccine content.
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