Facebook is better prepared against efforts to exploit the social platform to effect elections and has recently opposed foreign influence campaigns targeting several countries,’’ Founder mark, Zuckerberg said.
Zuckerberg posting in his Facebook page, outlined a series of steps the leading social network has taken to protect against misinformation and manipulation campaigns aimed at disrupting elections. “We’ve identified and removed fake accounts ahead of elections in France, Germany, Alabama, Mexico and Brazil. We’ve also found and taken down foreign influence campaigns from Russia and Iran attempting to interfere in the US, U.K., Middle East and elsewhere as well as groups in Mexico and Brazil that have been active in their respective countries,” zuckerberg said.
Zuckerberg repeated his admission!
He said that Facebook was ill prepared for the influence efforts on social media in the 2016 US elections, but added that today Facebook is better prepared for these kinds of attacks. He also warned that the task is difficult because we face “sophisticated and well funded adversaries, they won’t give up and they will keep evolving.
The Facebook co-founder said that the social network remains in constant battle with those who create fake accounts that could be used to spread false information having blocked more than a billion.
“With advances in machine learning, we’ve now built a system that blocks millions of fake accounts everyday. In total we removed more than a billion fake Accounts the vast majority within minutes of being created and before they could do any harm.
Zuckerberg’s post was the latest in series of steps aimed at repairing the damage from it’s missteps in 2016, including the hijacking personal data on millions of Facebook users by a political consultancy working for Donald trump.
Separately, Facebook announced it was expanding fact checking for photos and videos to 27 partners in 17 countries around the world up from 14 countries earlier this year.
“Similar to our work for articles, we have built a machine learning model that uses various engagement signals including feedback from people using Facebook to identify potentially false content,’’ said produce manager, Antonia Woodford.
“We then send those photos and videos to fact checkers for their review”
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