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Fake Russian Facebook accounts bought $100,000 of ads during US election

The Facebook analysis suggests these accounts and Pages were affiliated with one another

IANS  |  San Francisco 

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Facebook logo. (Photo: Reuters)

An internal investigation at has revealed that fake Russian accounts bought nearly $100,000 of political ads during the 2016 US campaign.

The ads and accounts appeared to focus on amplifying divisive social and political messages across the ideological spectrum -- touching on topics from LGBT matters to race issues to immigration to gun rights, the social networking giant said on Thursday.

"There have been a lot of questions since the 2016 US about Russian interference in the electoral process," said Alex Stamos, Chief Security Officer at Facebook, in a blog post.

"In reviewing the ad buys, we have found approximately $100,000 in ad spending from June of 2015 to May of 2017 -- associated with roughly 3,000 ads -- that was connected to about 470 inauthentic accounts and Pages in violation of our policies," he posted.

The analysis suggests these accounts and Pages were affiliated with one another and likely operated out of

"We don't allow inauthentic accounts on Facebook, and as a result, we have since shut down the accounts and Pages we identified that were still active," Stamos said.

The vast majority of ads run by these accounts didn't specifically refer to the US presidential election, voting or a particular candidate.

"The behaviour displayed by these accounts to amplify divisive messages was consistent with the techniques mentioned in the white paper we released in April about information operations," the executive noted.

has shared its findings with the US authorities investigating these issues.

The company is also exploring several new improvements to its systems for keeping inauthentic accounts and activity off its platform.

"For example, we are looking at how we can apply the techniques we developed for detecting to better detect inauthentic Pages and the ads they may run," the post said.

is also experimenting with changes to help it more efficiently detect and stop inauthentic accounts at the time they are being created.

It has applied machine learning to help limit spam and reduce the posts people see that link to low-quality web pages.

has also reduced stories from sources that consistently post clickbait headlines that withhold and exaggerate information.

 

First Published: Thu, September 07 2017. 11:00 IST
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