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Facebook readies AI tech to combat 'revenge porn'

REUTERS
Published Mar 16, 2019, 10:08 am IST
Updated Mar 16, 2019, 10:08 am IST
The new technology is in addition to a pilot program here that required trained representatives to review offending images.
A member of Facebook’s community operations team would review the content found by the new technology, and if found to be an offending image, remove it or disable the account responsible for spreading it.
 A member of Facebook’s community operations team would review the content found by the new technology, and if found to be an offending image, remove it or disable the account responsible for spreading it.

Facebook Inc said on Friday it would use artificial intelligence to combat the spread of intimate photos shared without people’s permission, sometimes called “revenge porn,” on its social networks.

The new technology is in addition to a pilot program here that required trained representatives to review offending images.

 

"By using machine learning and artificial intelligence, we can now proactively detect near nude images or videos that are shared without permission," the social networking giant said in a blog post here. "This means we can find this content before anyone reports it."

A member of Facebook’s community operations team would review the content found by the new technology, and if found to be an offending image, remove it or disable the account responsible for spreading it, the company added.

“Revenge porn” refers to the sharing of sexually explicit images on the internet, without the consent of the people depicted in the pictures, in order to extort or humiliate them. The practice disproportionately affects women, who are sometimes targeted by former partners.

Facebook will also launch a support hub called “Not Without My Consent” on its safety center page for people whose intimate images have been shared without their consent.

The Menlo Park, California-based company works with at least five outsourcing vendors in at least eight countries on content review, a Reuters tally shows. It had about 15,000 people, a mix of contractors and employees, working on content review as of December.

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