Facebook Wants to Use Machine Learning to Stop Hoaxes and Fake News

Facebook debuted a host of new efforts Thursday in its fight against fake news. In a blog post from product manager Tessa Lyons, Facebook announced a series of new partnerships and expansions to its fact-checking endeavors, including fact-checking viral photos and images and the use of machine learning to stop the spread of hoaxes and fake news. Advertisement The new features it announced are, according to Lyons' blog post: Expanding our fact-checking program to new countries Expanding our test to fact-check photos and videos Increasing the impact of fact-checking by using new techniques, including identifying duplicates and using Claim Review Taking action against new kinds of repeat offenders Improving measurement and transparency by partnering with academics Lyons explained that algorithms detect and flag pages with suspicious or otherwise unsavory behavior—plagiarized text, shady ads, targeting users in other countries, and more. Once a viral news story is debunked, Facebook will use machine learning to flag duplicates of the story—posting a story from multiple sites is a common practice among false information peddlers—identifying it across varying domains and news pages. "Using machine learning we're able to identify and demote duplicates of articles that were rated false by fact-checkers," Lyons said to BuzzFeed… Read full this story

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