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Facebook will start using machine learning to fact-check possible fake news posts
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Facebook will start using machine learning to fact-check possible fake news posts

Reuters • August 3, 2017, 21:24:32 IST
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Facebook is to send more potential hoax articles to third-party fact checkers and show their findings below the original post.

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Facebook will start using machine learning to fact-check possible fake news posts

Facebook is to send more potential hoax articles to third-party fact checkers and show their findings below the original post, the world’s largest online social network said on Thursday as it tries to fight so-called fake news.

[caption id=“attachment_3888863” align=“alignleft” width=“380”] ![Image: Reuters](https://images.firstpost.com/wp-content/uploads/2017/08/Facebook-1-380.jpg) Image: Reuters[/caption]

The company said in a statement on its website it will start using updated machine learning to detect possible hoaxes and send them to fact checkers, potentially showing fact-checking results under the original article.

Facebook has been criticised as being one of the main distribution points for so-called fake news, which many think influenced the 2016 US presidential election.

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The issue has also become a big political topic in Europe, with French voters deluged with false stories ahead of the presidential election in May and Germany backing a plan to fine social media networks if they fail to remove hateful postings promptly, ahead of elections there in September.

On Thursday Facebook said in a separate statement in German that a test of the new fact-checking feature was being launched in the United States, France, the Netherlands and Germany.

“In addition to seeing which stories are disputed by third-party fact checkers, people want more context to make informed decisions about what they read and share,” said Sara Su, Facebook news feed product manager, in a blog.

She added that Facebook would keep testing its “related article” feature and work on other changes to its news feed to cut down on false news.

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