Facebook to now 'fact-check' photos, videos
San Francisco, Sep 14 : In a bid to curb the spread of misinformation, social networking giant Facebook is now expanding its fact-checking capabilities to all of its third-party analysis partners around the world to examine the authenticity of the photos and videos shared on the platform.
"We have built a Machine Learning (ML) model that uses various engagement signals, including feedback from people on Facebook, to identify potentially false content and then send to the fact-checkers for review who analyse the content metadata along with other information to assess the truth or falsity of a photo or video by combining these skills with other journalistic practices or government agencies," Facebook said in a statement late on Thursday.
Based on testing and research, the social networking company claimed that misinformation in photos and videos falls into three categories -- manipulated or fabricated, out-of-context and text or audio claim -- which the platform aims to monitor and reduce.
"We use optical character recognition (OCR) to extract text from photos and compare that text to headlines from fact-checkers' articles and now we are also working on new ways to detect if a photo or video has been manipulated," the company added.
According to Tessa Lyons who is a Product Manager at Facebook, the company started its work on misinformation with articles because that was what people in the US said was the most prevalent form of false news they were seeing.
"What they would do is they will share articles that contain misinformation - and people would be surprised by the headlines because they were false. So, they will click on those articles and land on websites where bad actors were monetising their impressions with ads," Lyons said.
Expanding the fact-checking capabilities of Facebook to third-party partners would add more ratings on the accuracy of the content circulating on the platform using which it would be easier to improve the credibility of Facebook's ML model.
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'Strong evidence' available against Saif attacker, police tell court while opposing his bail plea
Mumbai, Jul 25 (PTI): Police have opposed the bail plea of the Bangladeshi national arrested for allegedly stabbing Bollywood actor Saif Ali Khan with a knife and injuring him at his home here in January this year, telling a Mumbai court there was "strong evidence" against the accused.
Citing a Forensic Science Laboratory report, police reiterated before the sessions court their earlier claim knife fragments that got lodged near the actor's spine during the attack as well as a part found at the crime spot have matched with the weapon recovered from the accused, Shariful Islam.
These three pieces were part of the same weapon (knife) used to attack the filmstar, the police said in a written response to the accused's plea submitted in the court on Thursday (July 24).
Khan was repeatedly stabbed with a knife by an intruder inside his 12th floor apartment in upscale Bandra on January 16 during a robbery attempt.
The 54-year-old actor underwent surgery at Lilavati Hospital to remove a piece of knife that got lodged near his spine during the attack. He was discharged from the private hospital after five days.
Shariful Islam, a Bangladeshi national, was arrested two days later for allegedly stabbing Khan.
The police, in their response, highlighted that the accused is a Bangladeshi citizen residing illegally in India.
If granted bail, there was a possibility that he may flee India and not appear before the court during the trial. The crime committed by the accused is of a "very serious nature, and strong evidence" is available against him, they argued.
In his bail plea, filed through advocate Vipul Dushing, the accused asserted he was innocent and had no prior criminal record.
Investigation into the case has practically concluded with only the filing of a chargesheet pending, the accused contended while seeking bail.
The alleged attacker has been booked under Bharatiya Nyaya Sanhita (BNS) sections related to house trespass, robbery and dacoity with attempt to cause death or grievous injury.
