The other day, a video is leaked by Breitbart showing an internal Google meeting after the election

of Donald Trump. We can see a high-ranking member of Google team nearly crying over the fact that

Trump won. We can see statements made by employees showing that they very much are far left.

And now conservatives are saying this is proof that Google is biased against conservatives.

And I'd have to agree. But the question is, does that bias in this meeting translate to a bias

in how their products function? I'd have to also say yes, you'd be very naive to believe

that they're not going to favor a certain point of view if that is where their politics lie.

And there are numerous examples of this. A lot of people are claiming that censorship against

Trump supporters and conservatives is conspiracy, but eight months ago we see this story.

Twitter employees admit to censoring Trump supporters. Or this story, former Facebook workers,

we routinely suppressed conservative news. Or how about a rogue Twitter employee shutting down

Trump's account for a blissful 11 minutes? Today we're seeing that Twitter is not allowing the

Center for Immigration Studies to promote a tweet with the term illegal aliens in it.

Mark Cricorian said Twitter just rejected paid promotion of the tweet below saying,

this determination is based on the following Twitter ads policy, hateful content.

It's because it contains the phrase illegal alien, which Twitter adselps deems unacceptable.

Never mind the fact that the term illegal alien is a legal term that exists in legal documents

and is not intended to be hateful. It's fascinating to me that you have people on the left still

claiming it's a conspiracy theory that conservatives are being targeted on social media when we have

time after time examples proving just this. Whether or not it's rogue employees or policy

set by these companies, we can see it happening. The argument that has made in the past,

when Twitter says illegal alien is hate speech and can't be promoted, you are seeing a bias against

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