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Elham AbolFateh

Science & Technology

Facebook will fact-check PHOTOS for fake news

Friday 14/September/2018 - 09:33 PM
Sada El Balad
Edited by Ahmed Moamar
Facebook is expanding its fake news spotting systems to include photos and videos as part of its ongoing battle to halt the spread of misinformation on its service، AS THE Daily Mail said

Following successful trials in France، India، and Mexico، the company said it will now roll-out the system in 17 countries worldwide in a bid to staunch what it has branded 'misinformation in these new visual formats.'

The Artificial Intelligence (AI) system feeds potentially fake content to human fact-checkers، who use visual verification techniques such as reverse image searching and analysing image metadata to check the veracity of photos and videos.

Previously، the company's efforts to tackle misinformation had been focused on rooting out false articles and webpage links.

Russian agents and other malicious groups seeking to influence democratic elections in the US and elsewhere have repeatedly used images and video.

These carry more visual appeal than text or false articles and are also harder to spot using fake news tracking software، which typically hunts for keywords in text.

Facebook said it has been testing the image fact-checks since the spring، beginning with a trial alongside French news agency AFP.

Now، it will send disputed photographs and videos to 27 fact-checking organisations in 17 countries to verify the flagged content.

The company has remained tight-lipped on the criteria it employs to evaluate photos and videos and how much an image can be edited before it is ruled fake.

Antonia Woodford، product manager at Facebook، said: 'People share millions of photos and videos on Facebook every day.

'We know that this kind of sharing is particularly compelling because it’s visual.

'It also creates an easy opportunity for manipulation by bad actors.

'We have built a machine learning model that uses various engagement signals، including feedback from people on Facebook، to identify potentially false content.

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