Mark Bergen reports in Bloomberg:
For years, Google fought and won a similar battle with spammers, content farms and search engine optimization over which pages should be shown at the top of search results. These latest web manipulators are exploiting a weakness that cuts to the core of Google's main proposition: Delivering trusted information. Google has made this real-time information problem worse by adding more machine learning because (it's) adept at fetching a site that's relevant to given search terms, even if its veracity is unproven.
Facebook has a fake news problem. Google has an evil unicorn problem.
“Evil unicorns” — a term some Google engineers once coined, according to a former executive — are unverified posts on obscure topics, full of lies. They pop up from time to time on the web and find their way into Google's search results. In an ideal world, Google’s search algorithm should force these fake, pernicious creatures so low in search results that they are buried deep in the web where few can find them.
Here's the problem: These unicorns — no, they've got nothing to do with highly valued startups — are designed to surface in a void. And after a breaking news event, like a mass shooting, there’s scant verified information for Google’s engine to promote. As Jonathan Swift once wrote, falsehood flies, and the truth comes limping after it.
"As soon as an event happens, everything is new," said Nate Dame, a search specialist at marketing firm Propecta. "There's no system for the algorithm to filter out truth and reality."
After the Oct. 1 Las Vegas shooting, several accounts seemed to coordinate an effort to smear Geary Danley, a man misidentified as the shooter, with
about his political ties. There were no existing web pages or videos broadcasting that Danley was innocent, and in the absence of verified information, Google's algorithms rewarded the lies, placing inaccurate tweets, videos and posts at the top of search results. A month later, when Devin Patrick Kelley shot and killed 26 people in Sutherland Springs, Texas, YouTube videos and tweets mislabeled him as “antifa,” a term for radical, anti-fascist protesters. This was not true, yet Google displayed these posts prominently.
Pandu Nayak, a search senior executive at Alphabet Inc.’s Google, said the newer policies around search "actually worked really well" after the Las Vegas shooting, with the Danley misidentification being a notable exception. "It wasn't this huge problem," Nayak said. "But we should have absolutely anticipated this, but didn't."
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