The firm disabled about 583 million fake accounts which were disabled minutes after registering.
It took action on 21 million pieces of content containing nudity and sexual activity. In addition, Facebook stated that from the remaining accounts, a mere three to four percent were fake.
Facebook today published its annual transparency report, and for the first time included the number of items removed in each category that violated its content standards. ".this is very much a work in progress and we will likely improve our methodology over time", said Sonderby.
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As perhaps the most prolific social media service ever, Facebook plays a vital role in connecting us with friends and family around the world. The rest came after Facebook users flagged the offending content for review.
The company estimated that for every 10,000 pieces of content seen on Facebook overall, between seven and nine of them violated its adult nudity and pornography standards.
Further, Alex Schultz, the company's vice president of data analytics, revealed that the amount of content moderated for graphic violence nearly tripled quarter-on-quarter. During Q1, the social network flagged 96 percent of all nudity before users reported it.
The company previously enforced community standards by having users report violations and trained staff then deal with them.
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Facebook does not fully know why people are posting more graphic violence but believes continued fighting in Syria may have been one reason, Reuters quoted Alex Schultz, Facebook's vice president of data analytics, as saying. For graphic violence, Facebook's technology accounted for 86 percent of the reports. While the company still asks people to report offensive content, it has increasingly used artificial intelligence technology to weed out offensive posts before anyone sees them.
Facebook revealed that the Community Standards Enforcement Report focused on suspicious activities that took place from October 2017 to March 2018.
Only 38 percent of these were flagged by automation, which fails to interpret nuances like counter speech, self-referential comments or sarcasm. The problem with trying to proactively scour Facebook for hate speech is that the company's AI can only understand so much at the moment.
On child exploitation imagery, Schultz said that the company still needed to make decisions about how to categorise different grades of content, for example cartoon child exploitation images.
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"As Mark Zuckerberg said at F8, we have a lot of work still to do to prevent abuse, .It's partly that technology like artificial intelligence, while promising, is still years away from being effective for most bad content because context is so important".