San Francisco: In a bid to address fake
content faster, Facebook has announced a new pilot programme to allow
fact-checkers quickly see whether a representative group of Facebook
users found a claim to be corroborated or contradicted.
programme will have community reviewers work as researchers to find
information that can contradict the most obvious online hoaxes or
corroborate other claims.
Facebook said it is partnering with YouGov, a global public opinion and data company, for the pilot project.
community reviewers are not Facebook employees but instead will be
hired as contractors through one of our partners," the company said in a
statement on Tuesday.
"They are not making final decisions
themselves. Instead, their findings will be shared with the third-party
fact-checkers as additional context as they do their own official
review," it added.
For example, if there is a post claiming that a
celebrity has died and community reviewers don't find any other sources
reporting that news, "or see a report that the same celebrity is
performing later that day", they can flag that the claim isn't
Fact-checkers will then see this information as they review and rate the post.
The pilot project is currently live in the US.
said it is working with experts and partners across many fields to
understand how it can better support fact-checking partners in their
effort to review content faster.
According to the social
networking giant, its machine learning model identifies potential
misinformation using a variety of signals.
These include comments
on the post that express disbelief, and whether a post is being shared
by a Page that has spread misinformation in the past.
is an indication that a post may be misinformation, it will be sent to a
diverse group of community reviewers," said Facebook.
These community reviewers will be asked to identify the main claim in the post.
will then conduct research to find other sources that either support or
refute that claim, similar to the way a person using Facebook may
search for other news articles to assess it if they believe the main
claim in a post.
Fact-checking partners will then be able to see
the collective assessment of community reviewers as a signal in
selecting which stories to review and rate, said Facebook.