Facebook Urges Consumers To Send Nude Photos To Prevent Their Upload

Facebook Urges Consumers To Send Nude Photos To Prevent Their Upload

Facebook Urges Consumers To Send Nude Photos To Prevent Their Upload

The social networking site said they worked with the National Network to End Domestic Violence, Center for Social Research, the Revenge Porn Helpline (UK) and the Cyber Civil Rights Initiative to ensure their methodology was sensitive and helpful to victims. Then, the users will be asked to send that image to themselves on Facebook Messenger.

Humans rather than algorithms will view the naked images voluntarily sent to Facebook in a scheme being trialled in Australia to combat revenge porn.

Facebook Australia's plan to fight revenge porn seems a bit counterintuitive.

If it violates Facebook policies, the company would create a digital fingerprint of the picture so that it could be recognized and blocked if its uploaded again.

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"They're not storing the image". While the initial report made clear that it was not in fact counter-productive and gave Facebook the means to track the files across its network, many people still walked away from the story bewildered. This has a necessary risk built in, but "it's a risk we are trying to balance against the serious, real-world harm that occurs every day when people (mostly women) can't stop NCII from being posted", Facebook security chief Alex Stamos explained on Twitter.

"The safety and well-being of the Facebook community is our top priority", Davis said.

Editors' Note: Adult Australians concerned that an intimate image may be shared online can complete an online form on the eSafety Commissioner's official website detailing their concerns. Stamos went on to say that Facebook takes steps to protect the data and only retains non-reversible hashes.

Users wanting to take part in the trial must first file a report with the commissioner, who will in turn share it with Facebook. At that point, Facebook will delete the image from its servers. One suggestion is to hash the image locally and then upload the hash to determine a match.

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