Google says it is fair to suppress support for Trump?
On Monday, Project Veritas released a powerful video revealing Google's liberal "Machine Learning Fairness" program, which a Google executive admitted defined fairness in terms any supporter of President Donald Trump would disagree with. She also suggested that Sen. Elizabeth Warren's (D-Mass.) plan to break up Google is misguided because only Google has the power to prevent "the next Trump situation." She also expressed a goal with Google's algorithms — to prevent 2016 from happening again.Google seems to be making the case for discrimination. One of the oddities of liberals is that they can't see bias in liberal sources. They only see it in conservative media. Project Veritas is likely to see more discrimination against its content after this. It is what happens when liberals are presented with inconvenient facts.
"Elizabeth Warren is saying that we should break up Google. And like, I love her but she’s very misguided, like that will not make it better, it will make it worse because now all these smaller companies who don’t have the same resources that we do will be charged with preventing the next Trump situation. It’s like a small company cannot do that," Jen Gennai, head of Responsible Innovation at Google Global Affairs, tells an undercover Project Veritas journalist in the video.
"We're also training our algorithms if 2016 happened again, would we have, would the outcome be different?" she further asks. "2020, certainly on top of my old organization, Trust and Safety, top of mind, they’ve been working on it since 2016, to make sure we’re ready for 2020."
It is possible Gennai was referring to the Russian fake news farms active during the 2016 election, a problem which Google and other Big Tech companies should combat.
As for those algorithms, the Project Veritas video focused on Machine Learning Fairness, also known as ML Fairness. Gennai admits that her definition of fairness cuts against the way Trump supporters would understand the term. She lays out a very intersectional understanding of fairness.
"My definition of fairness and bias specifically talks about historically marginalized communities. And that’s who I care about. Communities who are in power and have traditionally have been in power are not who I’m solving fairness for," Gennai says in the video." Our definition of fairness is one of those things that we thought would be like obvious, and everybody would agree to and it wasn’t. There was, the same people who voted for the current president do not agree with our definition of fairness."
"Fairness is a dog whistle. It does not mean what you think that it means and you have to apply doublethink in order to understand what they’re actually saying," a Google insider told Project Veritas's James O'Keefe. "What they’re really saying about fairness is that they have to manipulate their search results so it gives them the political agenda that they want. And so they have to rebias their algorithms."
As for that "rebiasing," it also explicitly involves news, according to Project Veritas. The video shows leaked documents calling for Google to establish "a single point of truth" for news. An admittedly unscientific PJ Media study found that 96 percent of Google search results for "Trump News" came from liberal sources.