WEBVTT - Is This a Psyop?

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<v Speaker 1>Brian Reed here, and I'm in the studio with our

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<v Speaker 1>newest producer, Tracy Hunt, who recently was pulled into a

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<v Speaker 1>weird cranny of the Internet, which made her wonder if

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<v Speaker 1>there might be something bigger going on.

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<v Speaker 2>Yes. I admittedly spend way too much time on TikTok.

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<v Speaker 2>And the TikTok algorithm knows I'm Black. And so I

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<v Speaker 2>get like beauty and fashion stuff. But a lot of

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<v Speaker 2>that is just like Black woman focused as well.

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<v Speaker 1>And that's what you like. That's what you're going on

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<v Speaker 1>TikTok for.

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<v Speaker 2>Yeah, that's what I like. I want to listen to

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<v Speaker 2>Black women talk about Love Island. But then I'll also

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<v Speaker 2>get these videos where it's like, you know, a Black

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<v Speaker 2>guy on some Manosphere podcast and he's talking about how

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<v Speaker 2>No one wants to be with Black women and Black

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<v Speaker 2>women don't deserve good relationships. And then I'll see a

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<v Speaker 2>video where a Black woman is talking about how Black

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<v Speaker 2>men are terrible and violent. And then, oh, the diaspora wars.

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<v Speaker 2>And that's like Black Americans talking about how African and

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<v Speaker 2>Caribbean people just like steal their culture from Black Americans

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<v Speaker 2>and how awful they are. And then I'll see some

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<v Speaker 2>Black person in the UK talking about how Black Americans

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<v Speaker 2>have no culture. And it's just very, very divisive and awful.

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<v Speaker 2>And it just feels like it was created in a

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<v Speaker 2>lab to piss me off.

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<v Speaker 1>Can you play me one of these videos just so

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<v Speaker 1>I can kind of see or hear what you're getting?

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<v Speaker 2>Sure.

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<v Speaker 3>Sure.

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<v Speaker 4>You people come over here and y'all are disrespectful. And

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<v Speaker 4>we don't go to your homelands and disrespect your homelands.

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<v Speaker 4>If 20 million Black Americans went to Nigeria and started

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<v Speaker 4>disrespecting the Nigerians, started taking from the culture, started operating

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<v Speaker 4>the culture, and they're acting like the culture was theirs,

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<v Speaker 4>y'all wouldn't let none of that fly.

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<v Speaker 2>I should also add that I don't really hear these

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<v Speaker 2>debates in real life, but online it feels like they're everywhere.

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<v Speaker 4>There's a reason why Black women in general do very

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<v Speaker 4>poorly when it comes to the dating scene. And the

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<v Speaker 4>reason why is because they have masculine attitudes coming from

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<v Speaker 4>single mother households.

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<v Speaker 2>So it makes me wonder if this is just all

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<v Speaker 2>designed to tear Black people apart and undermine our solidarity.

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<v Speaker 2>And I'm not the only one wondering this because I

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<v Speaker 2>see a lot of comments saying things like, this is

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<v Speaker 2>the CIA. This is a PSYOP. Wait, what? Yeah. So

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<v Speaker 2>I will look at some screenshots that I took to

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<v Speaker 2>give you an idea what I'm talking about. So under

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<v Speaker 2>one of these videos, a woman says, I swear it's

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<v Speaker 2>the CIA doing this. I'm glad some of us are

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<v Speaker 2>smart enough to see it. Another quote, I'm convinced this

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<v Speaker 2>narrative has been pushed as a psyop. And somebody responds, oh,

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<v Speaker 2>it's definitely a psyop. Here's another one. thank you for

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<v Speaker 2>posting this. There's so much misinformation being passed around online,

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<v Speaker 2>like it's a psyop.

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<v Speaker 1>And when people are saying psyop, just to put a

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<v Speaker 1>fine point on it, they mean a psychological operation, like

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<v Speaker 1>a government operation that plays on people's psychology. What are

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<v Speaker 1>they actually proposing they think might be going on?

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<v Speaker 2>I think what they think is going on is that

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<v Speaker 2>There may be like, you know, government intelligence groups that

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<v Speaker 2>are maybe paying people to say these things. Maybe they're

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<v Speaker 2>all bots that are like, you know, coming out of

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<v Speaker 2>some Russian troll farm. Or maybe there are like people

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<v Speaker 2>being seated in the community to spread these ideas who

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<v Speaker 2>might not even necessarily believe them. Like agents?

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<v Speaker 3>Yeah.

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<v Speaker 2>I think they're drawing on a real history of And

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<v Speaker 2>we haven't even said the big word yet, COINSELPRO, or

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<v Speaker 2>Counterintelligence Program. And that was a series of covert, illegal

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<v Speaker 2>operations run by the FBI in the 50s to early

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<v Speaker 2>70s that were trying to infiltrate leftist political groups, including

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<v Speaker 2>the civil rights movement, and destroy them from the inside.

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<v Speaker 2>So we're not pulling this PSYOP thing out of nowhere.

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<v Speaker 5>I know, but one of the tricky things about PSYOPs

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<v Speaker 5>is it's like, hard to know if it's a PSYOP

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<v Speaker 5>when it's happening. And that's the thing that kind of

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<v Speaker 5>like sends you into a dangerous spiral.

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<v Speaker 2>Whether or not it is a PSYOP, it sure is effective.

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<v Speaker 2>It's just very, very convenient that there would be a

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<v Speaker 2>lot of Black people yelling at each other on social media.

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<v Speaker 2>So I can't tell you whether the stuff in my

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<v Speaker 2>feed is a PSYOP. Honestly, a lot of it is

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<v Speaker 2>probably just, you know, people fighting on the internet like

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<v Speaker 2>real people do. But it made me want to know

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<v Speaker 2>about the things we can prove are psyops, where organizations

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<v Speaker 2>or people deliberately tried to manipulate Black people. I wanted

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<v Speaker 2>to know how they did it and why.

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<v Speaker 1>Got it. And that's the story you have for us today, right?

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<v Speaker 1>That's the story. From KCRW and Placement Theory, this is

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<v Speaker 1>Question Everything. I'm Brian Reed. We investigate how the truth

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<v Speaker 1>gets buried, distorted, denied, and the ways people are fighting

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<v Speaker 1>to make it matter again. And what Tracy found when

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<v Speaker 1>she dug into this is that the disinformers who are

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<v Speaker 1>targeting Black people in America, they don't make things up

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<v Speaker 1>out of thin air. They have a tried and true

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<v Speaker 1>strategy where they find something that already hurts with real

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<v Speaker 1>history behind it and press on it.

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<v Speaker 6>Mailman voting sounds great. But did you know that if

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<v Speaker 6>you vote by mail, your personal information will be part

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<v Speaker 6>of a public database that will be used by police

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<v Speaker 6>departments to track down old warrants?

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<v Speaker 2>Those are pain points in the Black community where we've

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<v Speaker 2>already seen abuse from our government.

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<v Speaker 1>Today, how psyops on social media target Black Americans and

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<v Speaker 1>their vote. Stick around.

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<v Speaker 2>So I was on TikTok looking for examples of online disinformation,

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<v Speaker 2>and then I came across a video from a professor.

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<v Speaker 2>She was talking about how harmful messages to and about

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<v Speaker 2>Black people spread online.

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<v Speaker 7>One of the biggest threats to Black life with AI

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<v Speaker 7>is the fact that it is becoming more and more undetectable,

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<v Speaker 7>which leads us into a space where misinformation, disinformation, and

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<v Speaker 7>malinformation are able to proliferate.

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<v Speaker 2>Her name is Dr. Christine McWhorter. She teaches broadcast reporting

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<v Speaker 2>and media history at Howard University. And while she is

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<v Speaker 2>an academic and a journalist, Professor McWhorter is also a

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<v Speaker 2>person who experiences the internet day in and day out

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<v Speaker 2>like the rest of us. And I like that she

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<v Speaker 2>was on social media talking directly to Black people about

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<v Speaker 2>all the BS that's always coming at us.

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<v Speaker 1>So I called her up.

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<v Speaker 2>So I got in touch with you because I saw

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<v Speaker 2>a clip of you, I think on TikTok, talking about

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<v Speaker 2>disinformation campaigns and how they're targeted towards Black people. And

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<v Speaker 2>so I was wondering, what kind of research are you

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<v Speaker 2>currently studying about this? My research centers around something called

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<v Speaker 2>critical race media literacy.

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<v Speaker 1>And yes, absolutely, I know that's a mouthful.

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<v Speaker 2>But critical race media literacy talks about how media does

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<v Speaker 2>racial harm, how we can get people to understand and

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<v Speaker 2>evaluate that harm, and how we can challenge that harm.

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<v Speaker 2>She walked me through three campaigns where media was used

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<v Speaker 2>to target Black voters— Each one turned out to be fake.

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<v Speaker 2>The first started around the 2016 presidential election. Piggybacking off

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<v Speaker 2>the growing popularity of the Black Lives Matter movement, two

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<v Speaker 2>groups popped up on Facebook and Twitter, Black Matters U.S.

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<v Speaker 2>and Blacktivist. They posted very, like, extremely pro-Black.

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<v Speaker 1>Messages, right?

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<v Speaker 2>Things about police brutality, things about Black maternal health, things

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<v Speaker 2>about the Black community and education. And so they were

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<v Speaker 2>gaining followers. They were gaining community. Black Matters U.S. would

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<v Speaker 2>grow to have about 200,000 followers on Facebook. The fake

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<v Speaker 2>Blacktivist group had more than 360,000 likes, and they were

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<v Speaker 2>capital I involved. And they did this for almost two years.

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<v Speaker 2>It got to the point where they were helping organizations

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<v Speaker 2>plan protests. There was a, right, like real in-person protests.

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<v Speaker 2>With Black Matters U.S., there was even money involved. Someone

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<v Speaker 2>from an actual Black activist group met with a woman

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<v Speaker 2>who gave him a debit card to help pay for

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<v Speaker 2>a protest. Like, that's how real it was. But while

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<v Speaker 2>these groups were highlighting real issues for Black people, and

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<v Speaker 2>even organizing and supporting protests, their solutions to these issues

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<v Speaker 2>started to look a little suspicious the closer we got

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<v Speaker 2>to Election Day. Not that long before the election, the

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<v Speaker 2>online messaging changed to voter suppression messages. So then they

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<v Speaker 2>would say things like, well, we shouldn't vote. There's no

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<v Speaker 2>point in it. The system isn't for us. There are

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<v Speaker 2>no good options. They're using narratives like this so that—

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<v Speaker 2>it would suppress the Black vote. The election came and went.

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<v Speaker 2>Donald Trump was elected president over Hillary Clinton. Whether the

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<v Speaker 2>campaign convinced Black people to vote or not, we still

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<v Speaker 2>don't know. But it was too little, too late. It

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<v Speaker 2>wasn't until the fall of 2017, almost a year later,

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<v Speaker 2>that the truth came out.

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<v Speaker 1>A Twitter and Facebook account, both disguised to look like

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<v Speaker 1>they were run by the same Black activists, were actually

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<v Speaker 1>the work of Russians.

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<v Speaker 8>This campaign used both Facebook and Twitter to basically advance

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<v Speaker 8>a message that would exploit the racial tensions that exist

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<v Speaker 8>in this country effectively as part of the larger Russian

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<v Speaker 8>goal of undermining American democracy, sowing political discord, contributing to

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<v Speaker 8>an atmosphere of partisanship and incivility.

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<v Speaker 2>The social media sites shut down these accounts in 2017.

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<v Speaker 2>And later, the Senate Intelligence Committee confirmed the pages were

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<v Speaker 2>run by Russia's Internet Research Agency, a troll farm, in

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<v Speaker 2>a campaign that targeted Black Americans more than any other group.

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<v Speaker 2>So to your point about psyops, yes, covert operations exist,

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<v Speaker 2>and they're very sophisticated and they're very detailed. The second

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<v Speaker 2>campaign didn't need fake activists. It hid behind a real

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<v Speaker 2>nonprofit and pretended to be something it wasn't. There was

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<v Speaker 2>a nonprofit called Building America's Future. And Building America's Future

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<v Speaker 2>is important because it was funded through something called dark money.

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<v Speaker 2>Dark money is money that goes through organizations like nested organizations.

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<v Speaker 2>So there'll be one organization that feeds money to another

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<v Speaker 2>organization that feeds money to another organization, and it makes

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<v Speaker 2>that money untraceable. And the reason for that is there

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<v Speaker 2>are certain types of nonprofits that do not have to

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<v Speaker 2>disclose who their donors are. So one, for example, is

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<v Speaker 2>a 501c4. Most people have heard of a 501c3. That's

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<v Speaker 2>a regular nonprofit like the Red Cross or NPR. 501c3s

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<v Speaker 2>aren't allowed to dabble in politics. A 501c4 is an

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<v Speaker 2>organization that can receive large donations and they don't have

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<v Speaker 2>to say who gave them that money. So what someone

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<v Speaker 2>will do, a very rich person will do, is give

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<v Speaker 2>the money to the 501c4 organization. So they more or

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<v Speaker 2>less serve as a go-between for rich donors who want

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<v Speaker 2>to remain anonymous and super PACs who have political agendas.

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<v Speaker 2>Here's how it works. A secret donor gives money to

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<v Speaker 2>Building America's Future. Then Building America's Future sends that money

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<v Speaker 2>to a super PAC who can use that money any

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<v Speaker 2>way it likes in political campaigns with no links to

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<v Speaker 2>the original person who donated the money. That's why it's

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<v Speaker 2>called dark money. I should point out that both parties

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<v Speaker 2>use dark money. But what made Building America's Future different

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<v Speaker 2>is it pretended to be something it wasn't. It had

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<v Speaker 2>these many organizations underneath, and each one of those organizations

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<v Speaker 2>targeted a different community to give information to. And much

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<v Speaker 2>of that information was disinformation. Disinformation aimed at keeping Kamala

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<v Speaker 2>Harris out of the White House. Building America's Future funded

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<v Speaker 2>a super PAC that ran ads telling Muslim voters in

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<v Speaker 2>Michigan that Harris was pro-Israel, while Jewish voters in Pennsylvania

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<v Speaker 2>got ads depicting Harris as an enemy to Israel. Building

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<v Speaker 2>America's Future also created a fake pro-Harris group called Progress 2028.

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<v Speaker 2>According to the Washington Post, Progress 2028 made ads praising

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<v Speaker 2>Harris for policies she didn't support, like mandatory gun buybacks,

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<v Speaker 2>and universal health care for undocumented immigrants. And for Black

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<v Speaker 2>voters in several swing states, there were ads about cigarettes,

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<v Speaker 2>menthol cigarettes specifically. And like a lot of these PSYOP campaigns,

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<v Speaker 2>they were blending the truth with fiction. In 2022, the

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<v Speaker 2>Biden administration had proposed banning menthol cigarettes, then dropped the

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<v Speaker 2>ban two years later, citing feedback from several groups. Building

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<v Speaker 2>America's Future picked up on that issue and distorted it.

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<v Speaker 4>Yeah, you heard that right. Instead of solving the problems

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<v Speaker 4>that matter to you, Kamala Harris and D.C. Democrats are

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<v Speaker 4>coming after your menthol cigarettes.

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<v Speaker 2>Most Black people who smoke do smoke menthol cigarettes. And

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<v Speaker 2>Professor McWhorter says that's why they focused on them in

0:14:00.720 --> 0:14:04.040
<v Speaker 2>the first place. And they had done that based on

0:14:04.580 --> 0:14:07.750
<v Speaker 2>research that they had that there was a large group

0:14:07.760 --> 0:14:11.390
<v Speaker 2>of Black people that preferred menthol cigarettes. It turned out

0:14:11.429 --> 0:14:15.510
<v Speaker 2>that two Republican consultants actually created Building America's Future during

0:14:15.550 --> 0:14:18.770
<v Speaker 2>the first Trump administration. In the lead up to the

0:14:18.770 --> 0:14:22.980
<v Speaker 2>2024 election, they got a Republican pollster to ramp up

0:14:23.030 --> 0:14:26.700
<v Speaker 2>all these anti-Harris attack ads to the tune of around

0:14:26.700 --> 0:14:32.400
<v Speaker 2>$ 35 million. Reminder, the funders are supposed to remain anonymous,

0:14:32.880 --> 0:14:35.140
<v Speaker 2>which is probably why the sources who came forward to

0:14:35.200 --> 0:14:39.450
<v Speaker 2>expose the truth behind Building America's Future were also anonymous.

0:14:40.850 --> 0:14:45.470
<v Speaker 2>Not one, not two, not three, but four separate anonymous

0:14:45.510 --> 0:14:50.700
<v Speaker 2>sources verified Elon Musk is funding building America's future. It

0:14:50.740 --> 0:14:53.680
<v Speaker 2>was Reuters that reported this, and we would never have

0:14:53.740 --> 0:15:04.200
<v Speaker 2>known if it weren't for good journalism. There is this

0:15:04.380 --> 0:15:07.760
<v Speaker 2>one term that kept coming up in my conversation with Dr.

0:15:07.830 --> 0:15:12.130
<v Speaker 2>Christine McWhorter. Those are pain points in the Black community.

0:15:12.230 --> 0:15:14.730
<v Speaker 2>Pain points in the Black community. And that's a pain point.

0:15:15.050 --> 0:15:20.770
<v Speaker 2>A legitimate, actual pain point. McWhorter says online disinformation campaigns

0:15:20.810 --> 0:15:24.990
<v Speaker 2>that target Black people try to locate and exploit very

0:15:25.070 --> 0:15:29.880
<v Speaker 2>specific fears in the Black community. When people identify with

0:15:29.920 --> 0:15:33.320
<v Speaker 2>those pain points in the narrative... it makes it easy

0:15:33.600 --> 0:15:35.420
<v Speaker 2>for the narrative to take you to a false place.

0:15:36.160 --> 0:15:40.900
<v Speaker 2>Can I give one more example? Yeah, absolutely. In 2020,

0:15:40.900 --> 0:15:45.670
<v Speaker 2>there was a disinformation campaign that involved robocalls, and the

0:15:45.730 --> 0:15:52.190
<v Speaker 2>robocalls were targeted to Black voters. The calls were coming

0:15:52.230 --> 0:15:56.250
<v Speaker 2>from someone calling themselves Tamika Taylor from Project 1599, and

0:15:56.870 --> 0:16:00.810
<v Speaker 2>they targeted Black voters in swing states like Ohio, Pennsylvania,

0:16:00.910 --> 0:16:06.490
<v Speaker 2>and Michigan. And it said, if you use mail-in ballots,

0:16:06.990 --> 0:16:09.470
<v Speaker 2>they will have your data and they will use your

0:16:09.510 --> 0:16:10.870
<v Speaker 2>data for these three things.

0:16:11.250 --> 0:16:14.640
<v Speaker 6>Mail-in voting sounds great. But did you know that if

0:16:14.680 --> 0:16:17.680
<v Speaker 6>you vote by mail, your personal information will be part

0:16:17.760 --> 0:16:20.440
<v Speaker 6>of a public database that will be used by police

0:16:20.460 --> 0:16:23.680
<v Speaker 6>departments to track down old ones? Can we use our

0:16:23.730 --> 0:16:27.800
<v Speaker 6>credit card companies to collect outstanding debt? The CDC is

0:16:27.960 --> 0:16:30.620
<v Speaker 6>even pushing to use records for mail-in voting to track

0:16:30.660 --> 0:16:32.320
<v Speaker 6>people for mandatory vaccines.

0:16:32.380 --> 0:16:34.900
<v Speaker 2>And they will use your data to look at your

0:16:35.000 --> 0:16:38.400
<v Speaker 2>medical records and force you to get vaccinated. And we

0:16:38.420 --> 0:16:41.040
<v Speaker 2>know in 2020, that was a huge thing. And then

0:16:41.060 --> 0:16:45.640
<v Speaker 2>her final message to would-be mail-in voters, correction, mail-in Black voters.

0:16:46.120 --> 0:16:49.020
<v Speaker 6>Don't be finesse into giving those types of information to

0:16:49.040 --> 0:16:52.550
<v Speaker 6>the main. Stay safe and be aware of those type

0:16:52.570 --> 0:16:52.830
<v Speaker 6>of emails.

0:16:55.470 --> 0:16:57.670
<v Speaker 2>The reason why I bring this up is because those

0:16:58.210 --> 0:17:02.520
<v Speaker 2>are pain points in the Black community where we've already

0:17:02.580 --> 0:17:06.700
<v Speaker 2>seen abuse from our government. We already have abuse from imprisonment.

0:17:07.100 --> 0:17:09.440
<v Speaker 2>And that's a pain point because of the way that

0:17:09.500 --> 0:17:15.010
<v Speaker 2>the government has misused and abused us in regards to arrest, imprisonment,

0:17:15.109 --> 0:17:19.930
<v Speaker 2>the whole complex. Obviously, there's been economic abuse historically. And

0:17:19.990 --> 0:17:24.040
<v Speaker 2>then also medical trust issues. A lot of black and

0:17:24.060 --> 0:17:27.399
<v Speaker 2>brown people did not want to get vaccinated because of Tuskegee,

0:17:27.820 --> 0:17:30.699
<v Speaker 2>because of Henrietta Lacks, because a lot of our community

0:17:30.770 --> 0:17:33.630
<v Speaker 2>doesn't trust the government because they have, in fact, lied

0:17:33.690 --> 0:17:35.930
<v Speaker 2>about medical issues and we don't want to be involved.

0:17:36.730 --> 0:17:39.190
<v Speaker 2>But if it feels like an extra hurt, if it

0:17:39.230 --> 0:17:43.570
<v Speaker 2>feels like a fear and specifically a black fear of

0:17:44.410 --> 0:17:48.900
<v Speaker 2>a fear where we've been harmed before by our own government,

0:17:49.500 --> 0:17:53.150
<v Speaker 2>that's a sign and that's a trigger. The robocall was

0:17:53.210 --> 0:17:56.730
<v Speaker 2>especially nefarious because, according to a lawsuit, they hired a

0:17:56.830 --> 0:18:00.290
<v Speaker 2>Black actress to voice the commercial. And I couldn't help

0:18:00.330 --> 0:18:04.449
<v Speaker 2>but notice that Project 1599 sounds a lot like the

0:18:04.530 --> 0:18:10.210
<v Speaker 2>Pulitzer Prize-winning 1619 Project. They also, in my opinion, clumsily

0:18:10.430 --> 0:18:14.840
<v Speaker 2>used Black slang like finesse and the man. And of course,

0:18:15.859 --> 0:18:19.000
<v Speaker 2>her name was Tamika. Who is Blacker than Tameka Taylor?

0:18:19.020 --> 0:18:21.320
<v Speaker 5>You know, yeah.

0:18:21.640 --> 0:18:26.070
<v Speaker 2>Yeah, that's a Black woman. It was relatively easy to

0:18:26.130 --> 0:18:29.550
<v Speaker 2>figure out who was behind this scheme. It's right there

0:18:29.710 --> 0:18:30.710
<v Speaker 2>at the start of the call.

0:18:31.270 --> 0:18:35.870
<v Speaker 6>Hi, this is Tameka Taylor from Project 1599, a civil

0:18:35.910 --> 0:18:39.429
<v Speaker 6>rights organization founded by Jack Berkman and Jacob Wool.

0:18:40.300 --> 0:18:44.520
<v Speaker 2>Jacob Wool and Jack Berkman, two white Republican operatives from Virginia.

0:18:45.109 --> 0:18:49.689
<v Speaker 2>They faced charges for voter intimidation and telecommunication fraud in

0:18:49.830 --> 0:18:53.449
<v Speaker 2>several states, and a civil rights group sued them in

0:18:53.490 --> 0:18:57.510
<v Speaker 2>federal court for civil rights violations, including the Ku Klux

0:18:57.570 --> 0:19:01.980
<v Speaker 2>Klan Act. The FCC fined them $ 5 million for the

0:19:02.040 --> 0:19:05.260
<v Speaker 2>robocall campaign, and they agreed to pay the New York

0:19:05.320 --> 0:19:08.640
<v Speaker 2>attorney general's office more than a million dollars in a settlement.

0:19:09.440 --> 0:19:12.600
<v Speaker 2>In Michigan, they were sentenced to one year of probation.

0:19:13.680 --> 0:19:16.060
<v Speaker 2>They were back in the news this fall after 60

0:19:16.060 --> 0:19:20.420
<v Speaker 2>Minutes investigated them for their latest side hustle. They allegedly

0:19:20.540 --> 0:19:23.980
<v Speaker 2>told people they could broker pardons with the Trump administration

0:19:24.460 --> 0:19:28.400
<v Speaker 2>in exchange for hundreds of thousands of dollars. So that's

0:19:28.500 --> 0:19:34.399
<v Speaker 2>three elections, 2016, 2020, 2024, and three operations aimed at

0:19:34.440 --> 0:19:37.770
<v Speaker 2>Black voters that we know about from Russia and far-right groups.

0:19:38.380 --> 0:19:41.330
<v Speaker 2>And we only found out about them because of investigative journalism.

0:19:41.800 --> 0:19:46.850
<v Speaker 2>anonymous sources and lawsuits, usually long after the elections already happened.

0:19:48.630 --> 0:19:52.700
<v Speaker 2>We just had the midterms. Black voters turned out against Republicans.

0:19:53.400 --> 0:19:55.920
<v Speaker 2>But was anyone running a PSYOP against them this year?

0:19:56.720 --> 0:19:59.920
<v Speaker 2>We may not know for a while. But Professor McWhorter

0:19:59.980 --> 0:20:02.380
<v Speaker 2>says there's a new tool out there that could make

0:20:02.420 --> 0:20:07.030
<v Speaker 2>the next PSYOP even harder to catch. AI and digital blackface.

0:20:09.750 --> 0:20:10.330
<v Speaker 1>After the break.

0:20:14.100 --> 0:20:17.320
<v Speaker 2>Lately, Professor McWhorter has been using her TikTok to talk

0:20:17.359 --> 0:20:22.300
<v Speaker 2>about how AI fits into the disinformation landscape. Sometimes Black

0:20:22.320 --> 0:20:25.780
<v Speaker 2>people are so fake. And I mean that literally because

0:20:25.840 --> 0:20:32.070
<v Speaker 2>sometimes Black people are AI-generated. She's talking about digital Blackface, which,

0:20:32.380 --> 0:20:35.949
<v Speaker 2>with AI, has become even easier to pull off. Digital

0:20:35.970 --> 0:20:39.840
<v Speaker 2>Blackface is when someone who isn't Black performs Black identity

0:20:39.980 --> 0:20:43.600
<v Speaker 2>or pretends to be Black online. But instead of pretending

0:20:43.660 --> 0:20:47.010
<v Speaker 2>to be Black, disinformers can now just create fake Black

0:20:47.050 --> 0:20:50.270
<v Speaker 2>people to do and say the things to fit their narrative.

0:20:50.810 --> 0:20:55.369
<v Speaker 2>Here's an example. There was a radio host in Florida.

0:20:55.450 --> 0:20:58.930
<v Speaker 2>His name is Mark Kay, and he has something like

0:20:59.170 --> 0:21:03.699
<v Speaker 2>a million followers. He made a picture of President Trump,

0:21:03.820 --> 0:21:08.020
<v Speaker 2>and he's surrounded by Black women online. And they're, you know, smiling,

0:21:08.060 --> 0:21:11.639
<v Speaker 2>getting along in the picture. And it's manufacturing this sense

0:21:12.020 --> 0:21:16.060
<v Speaker 2>of the Black community loves me. Like, I'm, you know,

0:21:16.180 --> 0:21:18.000
<v Speaker 2>all of this stuff. Y'all are saying I'm racist, but

0:21:18.020 --> 0:21:18.740
<v Speaker 2>clearly I'm not.

0:21:18.780 --> 0:21:19.200
<v Speaker 3>Look at these.

0:21:19.260 --> 0:21:23.080
<v Speaker 2>And not just Black people, but Black women, right? Black women, especially, yeah.

0:21:23.500 --> 0:21:26.460
<v Speaker 2>You know, and people look at that and use it

0:21:26.550 --> 0:21:30.110
<v Speaker 2>as evidence of something that the Black community did not

0:21:30.150 --> 0:21:35.600
<v Speaker 2>necessarily say. But all those women, they're A.I., McWhorter says

0:21:35.680 --> 0:21:39.160
<v Speaker 2>she's worried that these kind of stunts with AI-generated Black

0:21:39.200 --> 0:21:43.459
<v Speaker 2>people are increasingly harder to detect. And we're not saying,

0:21:43.880 --> 0:21:46.300
<v Speaker 2>you know, that there are no Black people that love

0:21:46.320 --> 0:21:46.860
<v Speaker 2>President Trump.

0:21:46.960 --> 0:21:47.800
<v Speaker 1>Of course, there are some.

0:21:48.040 --> 0:21:51.160
<v Speaker 2>But my point is, you can manufacture a consensus where

0:21:51.200 --> 0:21:56.500
<v Speaker 2>there is none. And so AI is making everything trickier.

0:21:56.940 --> 0:21:58.700
<v Speaker 2>We used to be able to say, oh, this person

0:21:58.740 --> 0:22:02.180
<v Speaker 2>has like six fingers. So obviously, like, that's not a person.

0:22:02.850 --> 0:22:05.470
<v Speaker 2>AI is too good now. Yeah, they got really good

0:22:05.510 --> 0:22:07.669
<v Speaker 2>at hands and it was over for us.

0:22:09.740 --> 0:22:10.440
<v Speaker 4>Yeah, it's over.

0:22:10.520 --> 0:22:11.200
<v Speaker 6>It's over.

0:22:11.220 --> 0:22:12.200
<v Speaker 4>We can't. We don't know.

0:22:12.220 --> 0:22:12.880
<v Speaker 2>We can't tell.

0:22:13.020 --> 0:22:13.300
<v Speaker 8>Yeah.

0:22:14.040 --> 0:22:18.119
<v Speaker 2>So I'm wondering, like, how do you counteract that? How

0:22:18.180 --> 0:22:19.880
<v Speaker 2>do you get the truth out there?

0:22:19.900 --> 0:22:22.330
<v Speaker 1>I have some solutions for this.

0:22:22.609 --> 0:22:23.129
<v Speaker 6>OK, yeah, yeah.

0:22:23.330 --> 0:22:27.450
<v Speaker 2>One of the biggest things that I am an advocate

0:22:27.750 --> 0:22:33.189
<v Speaker 2>of is that people should be making counter narratives. It's

0:22:33.230 --> 0:22:35.430
<v Speaker 2>important to say that a counter-narrative can only be told

0:22:35.630 --> 0:22:39.230
<v Speaker 2>from a member of the racially marginalized community. So if

0:22:39.280 --> 0:22:41.170
<v Speaker 2>I'm going to tell a counter-narrative about Black people, I

0:22:41.900 --> 0:22:45.820
<v Speaker 2>pretty much better be Black, right? The 1619 Project, Nicole Hannah-Jones,

0:22:46.060 --> 0:22:49.880
<v Speaker 2>was one of my favorite counter-narratives. Our Black historians tell

0:22:49.900 --> 0:22:52.320
<v Speaker 2>the truth about what history is censored about, and that

0:22:52.359 --> 0:22:55.939
<v Speaker 2>did great work. Nick Warder told me, if you're Black

0:22:56.060 --> 0:22:58.420
<v Speaker 2>and you have something positive to say about our community,

0:22:59.020 --> 0:23:02.109
<v Speaker 2>hop on social media and say it. We need all

0:23:02.130 --> 0:23:05.820
<v Speaker 2>the counter-narratives we can get. There are people who do,

0:23:05.960 --> 0:23:09.590
<v Speaker 2>they have the absolute gift of gab. hilarious and fun.

0:23:09.869 --> 0:23:14.250
<v Speaker 2>Like Khalil Green, who does history about Black people and

0:23:14.290 --> 0:23:17.609
<v Speaker 2>he counters falsehoods. And he's really great, right?

0:23:18.070 --> 0:23:21.210
<v Speaker 3>So did y'all know that Tupac Shakur was named after

0:23:21.270 --> 0:23:25.130
<v Speaker 3>one of history's greatest indigenous resistance leaders? The name Tupac

0:23:25.150 --> 0:23:28.149
<v Speaker 3>comes from a Quechua language spoken by the Incan people

0:23:28.300 --> 0:23:30.120
<v Speaker 3>of this region in South America.

0:23:30.140 --> 0:23:33.400
<v Speaker 2>I think one of the things we have to make

0:23:33.480 --> 0:23:37.320
<v Speaker 2>sure that we do is put out things that are engaging,

0:23:37.340 --> 0:23:40.500
<v Speaker 2>that they're entertaining, that people really want to hear and

0:23:40.520 --> 0:23:44.159
<v Speaker 2>listen to, that they would listen to anyway, if it

0:23:44.220 --> 0:23:48.210
<v Speaker 2>wasn't even necessarily, you know, me teaching you about disinformation,

0:23:48.550 --> 0:23:53.050
<v Speaker 2>wagging my finger at you about, you know, fact-checking. Now,

0:23:53.250 --> 0:23:56.270
<v Speaker 2>is it, you know, is the algorithm going to pick

0:23:56.310 --> 0:23:59.119
<v Speaker 2>it up as quickly as they pick up a fight

0:23:59.240 --> 0:24:02.780
<v Speaker 2>in the street? Maybe not. But I think it goes

0:24:02.840 --> 0:24:05.540
<v Speaker 2>a long way in making sure that people hear what

0:24:05.560 --> 0:24:09.020
<v Speaker 2>we actually have to say. I asked Professor McWhorter what

0:24:09.100 --> 0:24:13.060
<v Speaker 2>disinformation she's paying attention to right now. And she said,

0:24:13.440 --> 0:24:17.220
<v Speaker 2>after the blue wave midterms, to look out for disinformation

0:24:17.570 --> 0:24:22.070
<v Speaker 2>blaming Democrats for programs that the Republicans have cut. The

0:24:22.230 --> 0:24:27.149
<v Speaker 2>biggest one, in my opinion, this is just my two cents,

0:24:28.090 --> 0:24:35.510
<v Speaker 2>narratives about... What will happen economically are extremely important because

0:24:35.590 --> 0:24:39.510
<v Speaker 2>there are several things that were triggered in the big,

0:24:39.550 --> 0:24:45.020
<v Speaker 2>beautiful bill that will not take place until after the midterms.

0:24:45.660 --> 0:24:49.420
<v Speaker 2>In that bill, Republicans cut nearly a trillion dollars over

0:24:49.420 --> 0:24:53.480
<v Speaker 2>10 years from Medicaid. Now that they've lost control of Congress,

0:24:53.800 --> 0:24:56.200
<v Speaker 2>she says the GOP may try to shift the narrative

0:24:56.400 --> 0:24:58.950
<v Speaker 2>and the blame. And so that's going to make it

0:24:59.010 --> 0:25:02.750
<v Speaker 2>seem like Democrats got in office and they took away

0:25:03.540 --> 0:25:07.720
<v Speaker 2>access to Medicaid. They took away, you know, further access

0:25:08.060 --> 0:25:08.600
<v Speaker 2>to SNAP.

0:25:08.740 --> 0:25:10.679
<v Speaker 8>They took away these.

0:25:10.580 --> 0:25:15.530
<v Speaker 2>Supports that many black and brown communities depend on. And so.

0:25:16.140 --> 0:25:19.710
<v Speaker 2>One thing I'm looking for is narratives that say, well,

0:25:19.970 --> 0:25:22.609
<v Speaker 2>you know, the Democrats actually, you know, don't help and

0:25:22.630 --> 0:25:24.889
<v Speaker 2>they want to take away these things. And they, you know,

0:25:24.930 --> 0:25:30.030
<v Speaker 2>they are not for communities because to the not as

0:25:30.109 --> 0:25:33.780
<v Speaker 2>informed person, it will look like they said they were

0:25:33.800 --> 0:25:37.880
<v Speaker 2>going to take away these things. And then after the midterms, oh, no,

0:25:37.920 --> 0:25:44.120
<v Speaker 2>they were taken away. Right. Specifically targeted for pain points

0:25:44.800 --> 0:25:50.300
<v Speaker 2>in the black community. After we talked, I decided to

0:25:50.420 --> 0:25:53.570
<v Speaker 2>follow Khalil Green, who goes by the Gen Z Historian.

0:25:53.640 --> 0:25:55.730
<v Speaker 3>Did you know that the first woman to be accused

0:25:55.770 --> 0:25:58.350
<v Speaker 3>of witchcraft during the infamous Salem witch trials.

0:25:58.690 --> 0:26:01.510
<v Speaker 2>He has videos about how the South inspired the Hunger

0:26:01.530 --> 0:26:04.290
<v Speaker 2>Games novels and how the true victims of the Salem

0:26:04.330 --> 0:26:09.230
<v Speaker 2>witch trials were Native Americans. My algorithm is still a mess,

0:26:09.850 --> 0:26:13.760
<v Speaker 2>especially after reporting this story. But every time I watch

0:26:13.800 --> 0:26:16.919
<v Speaker 2>one of his videos instead of a comment war, I'm

0:26:16.960 --> 0:26:22.330
<v Speaker 2>teaching my algorithm something. When I see these kinds of messages,

0:26:22.910 --> 0:26:25.850
<v Speaker 2>I need to be more critical of them so that

0:26:26.150 --> 0:26:30.730
<v Speaker 2>I don't get caught up. I don't fall for the okey-doke.

0:26:31.609 --> 0:26:32.870
<v Speaker 1>You explained it perfectly well.

0:26:33.590 --> 0:26:36.610
<v Speaker 2>If you understand how to deconstruct the narrative, you won't

0:26:36.630 --> 0:26:37.510
<v Speaker 2>fall for the okey-doke.

0:26:46.390 --> 0:26:48.540
<v Speaker 1>That was Tracy Hunt, one of the producers of our show.

0:26:49.010 --> 0:26:54.080
<v Speaker 1>talking to Professor Christine McWhorter at Howard University. Please follow

0:26:54.119 --> 0:26:55.760
<v Speaker 1>our show on whatever app you're using to listen to

0:26:55.820 --> 0:27:00.000
<v Speaker 1>us right now. Check us out on Instagram at questioneverything.podcast

0:27:00.460 --> 0:27:05.540
<v Speaker 1>or on Substack, questioneverything.substack.com. Today's show was edited by Executive

0:27:05.580 --> 0:27:08.160
<v Speaker 1>Editor Kevin Sullivan. Robin Semi and I are the Executive

0:27:08.180 --> 0:27:11.570
<v Speaker 1>Producers of Question Everything. Our team also includes Producers Sam

0:27:11.630 --> 0:27:14.570
<v Speaker 1>Egan and Zach St. Louis, Contributing Editors Neil Drumming and

0:27:14.609 --> 0:27:18.310
<v Speaker 1>Jen Kinney, Associate Producer Kevin Shepard, and Contributing Reporter Sean Cole.

0:27:18.760 --> 0:27:21.420
<v Speaker 1>This episode was fact-checked by Annika Robbins, mixing and sound

0:27:21.440 --> 0:27:24.290
<v Speaker 1>design by Brendan Baker. Our music is by Matt McGinley.

0:27:24.390 --> 0:27:27.350
<v Speaker 1>Evie Kwong runs our social media. Our partners at KCRW

0:27:27.410 --> 0:27:30.490
<v Speaker 1>include Arnie Seipel, Tejla Jamera, Natalie Hill, and Jennifer Farrow.

0:27:31.359 --> 0:27:31.800
<v Speaker 2>See you next week.