Chernobyl writer urges Instagram users to respect site when they travel to take lewd selfies.

The 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.


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 the disaster.

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Twitter acquires Fabula AI, a machine learning startup that helps spot fake news.

Twitter 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.


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.

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