Facebook Closes 583 Million Fake Accounts

Millions of fake accounts used to perpetrate unscrupulous activities have been taken down on Facebook as part of efforts to make the platform safer for use.
 
Facebook user
 
Facebook yesterday said it axed 583 million fake accounts in the first three months of 2018.
 
It said those closures came on top of blocking millions of attempts to create fake accounts every day.
 
The social media giant also detailed how it enforces “community standards” against s*xual or violent images, terrorist propaganda or hate speech.
 
Despite this, the group said fake profiles still make up 3-4 percent of all active accounts.
 
In a report released yesterday, Facebook claimed it “detected almost 100 percent of spam and removed 837 million posts assimilated to spam over the same period.
 
“Facebook pulled or slapped warnings on nearly 30 million posts containing s*xual or violent images, terrorist propaganda or hate speech during the first quarter.

“Improved technology using artificial intelligence had helped it act on 3.4 million posts containing graphic violence, nearly three times more than it had in the last quarter of 2017.
 
“In 85.6 percent of the cases, Facebook detected the images before being alerted to them by users,” said the report
 
The figure represents between 0.22 and 0.27 percent of the total content viewed by Facebook’s more than two billion users from January through March.
 
“In other words, of every 10,000 content views, an estimate of 22 to 27 contained graphic violence,” the report added.
 
Responses to rule violations include removing content, adding warnings to content that may be disturbing to some users while not violating Facebook standards; and notifying law enforcement in case of a “specific, imminent and credible threat to human life”.
 
Improved IT also helped Facebook take action against 1.9 million posts containing terrorist propaganda, a 73 percent increase. Nearly all were dealt with before any alert was raised, the company said.
 
It attributed the increase to the enhanced use of photo detection technology.
 
Hate speech is harder to police using automated methods, however, as racist or homophobic, hate speech is often quoted on posts by their targets or activists.