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writer of hit television program Chernobyl has urged Instagram
users to stop taking
lewd and inappropriate selfies at the
location of the disaster.
In the wake of the popularity of the show, tourists have flocked to the
nuclear disaster site —
with some taking the chance to
strike “disrespectful” poses in photographs, and even strip to their underwear.
One picture shows a woman letting a hazard suit fall to her waist, exposing her bra as she flicks her hair in the wind. Another shows a woman dressed as a
nuclear scientist posing in the middle of the control room of the destroyed unit 4of the city power plant.
Continue reading “Chernobyl writer urges Instagram users to respect site when they travel to take lewd selfies.”
Many others have taken selfies whereas holding Geiger counters, and one picture shows a young woman posing in an abandoned bus.
In the weeks following the explosion in
1986, 29 firefighters
and power plant employees died of acute radiation syndrome, and 2 of injuries.
Meanwhile in Chernobyl: Instagram influencers
flocking to the location of
has acquired Fabula
AI, a London-based startup that uses machine learning (ML) to help discover the spread of misinformation online.
Terms of the deal weren’t disclosed; however the acquisition will underpin a research group at Twitter led by Sandeep Pandey that will work toward finding
new ways to leverage
machine learning across natural
language processing (NLP),
recommendations systems, reinforcement learning, and graph deep learning.
The group will also address ml ethics.
Continue reading “Twitter acquires Fabula AI, a machine learning startup that helps spot fake news.”
Founded in 2018, Fabula has developed a patented AI system it calls
“geometric deep learning” — effectively algorithms that learn from massive and complex information sets
gleaned from social networks.
“Fake news” has become an umbrella buzzword to describe the deliberate spread of misinformation; however Fabula AI is basically about helping identify the authenticity of any data that circulates on social
media — despite intent.
Studies have shown that false news spreads quicker than real news online, a pattern that
can be used to help spot misinformation. This is what Fabula focuses
on: detecting differences in how content is spreading on
social media and allocating
an authenticity score.