In Review: April Fools’ Day 2019 Branding, Marketing, and Media Stunts

Before April Fools’ Day 2019 even began, the tech giant Microsoft announced that it would not be indulging in any branded foolishness this year. And that sort of set the tone for the day.

From the rise of the internet and social media through the election of Donald Trump, distinguishing truth from fiction in the online landscape has become less about comedy and more about horror. Even the cutest and cleverest April Fools’ publicity stunts are not as well received as they may have been in the past. The overall online mood is darker, more skittish, and more reflective. Still, there’s still some levity to be found in the chaos and desperation.

A few editorials addressed the cynicism and fatigue around April Fools’ Day from high-level perspectives.

Of the branded pranks that did go down, the most interesting had satirical or meta-comedic elements.

Others were just plain, dumb, silly, marginally self-aware fun. Here are the best of the rest:

And there was even some good news!

As with any holiday, the best way to spend April Fools’ Day is probably not on the internet, but engaged in revelry and camaraderie IRL, fighting the forces of oppression and no-fun-ness in the company of loved ones and loved ones you haven’t met yet. So naturally the best news of the day was the annual April Fools’ Day Parade – see the highlights [HERE].

Confessions of a Rock and Roll Poser

Last autumn, Jered “Threatin” Eames staged the most alienating, least explicable rock tour stunt since the Sex Pistols hit the deep south. He recently broke his silence.


“The Great Heavy Metal Hoax”
by David Kushner
Rolling Stone
December 14, 2018

In November, managers of rock clubs across the United Kingdom began sharing the same weird tale. A pop-metal performer, Threatin, had rented their clubs for his 10-city European tour. Club owners had never heard of the act when a booking agent approached them promising packed houses. Threatin had fervent followers, effusive likes, rows of adoring comments under his YouTube concert videos, which showed him windmilling before a sea of fans. Websites for the record label, managers and a public-relations company who represented Threatin added to his legitimacy. Threatin’s Facebook page teemed with hundreds of fans who had RSVP’d for his European jaunt, which was supporting his album, Breaking the World.

But despite all the hype, almost no one came to the shows. It was just Threatin and his three-piece band onstage, and his wife, Kelsey, filming him from the empty floor. And yet Threatin didn’t seem to care — he just ripped through a set as if there was a full house. When confronted by confused club owners, Threatin just shrugged, blaming the lack of audience on bad promotion. “It was clear that something weird was happening,” says Jonathan “Minty” Minto, who was bartending the night Threatin played at the Exchange, a Bristol club, “but we didn’t realize how weird.” Intrigued, Minto and his friends started poking around Threatin’s Facebook page, only to find that most of the fans lived in Brazil. “The more we clicked,” says Minto, “the more apparent it became that every single attendee was bogus.”

It all turned out to be fake: The websites, the record label, the PR company, the management company, all traced back to the same GoDaddy account. The throngs of fans in Threatin’s concert videos were stock footage. The promised RSVPs never appeared. When word spread of Threatin’s apparent deception, club owners were perplexed: Why would someone go to such lengths just to play to empty rooms? Read more.

The Political Prank That Ensnared the Wall Street Journal

Laura Loomer is a far-right media provocateur known for shambolic publicity stunts. Her toxic racial rhetoric has resulted in her removal from a number of social media platforms, and she hasn’t taken it well. Anxious to stay in the public eye, she was recently tricked into a bizarre caper that oddly also sucked in the Wall Street Journal. This comedy of errors encapsulates much of what is so ridiculous about the current media landscape. See if you can keep up.


“Did the Wall Street Journal Fall for a Prank Directed at Laura Loomer?”
by Jared Holt
Right Wing Watch
January 15, 2019

EXCERPT FROM THE FULL ARTICLE: “She didn’t verify who I am once. Never did she make an attempt,” Gillen said. “Everything I gave her as ‘info,’ she took as gospel. She hasn’t batted an eye or questioned anything that I said, ever.”

In a recorded phone call Bernard shared with us, Loomer expressed her willingness to leverage all means possible to retaliate against Twitter.

“I’m down with anything, honestly. So if whistle-blowers like yourself just want to come to me—I mean, I’m looking to escalate this as much as I can. I don’t even care. The gloves are off right now. [Twitter CEO Jack Dorsey] is banning people simply because they’re conservative. … He is taking money from all these Muslims and implementing Sharia law,” Loomer told Gillen during a phone call.

Bernard told Right Wing Watch that the goal of their stunt was to see if Loomer would go on-air at Alex Jones’ Infowars and repeat what they had told her, after which they planned to reveal the details of their joke in order to make a point about what they said were Loomer’s and Infowars’ non-existent journalistic standards and confirmation bias.

But something else happened.

“Don’t worry it will be big,” Loomer wrote to the pranksters in a December text message. “I have a big network of journalists I know.”

Read the whole story here.


Reality: Now Faker Than Ever

In a brilliant and dizzying end-of-year rant, Max Read takes stock of how much of our digital world is constructed from weapons-grade fraud, deception, nonsense, hokum, and miscellaneous bullshit.


“How Much of the Internet is Fake? Turns Out, a Lot of It, Actually”
by Max Read
New York Intelligencer
December 26, 2018

How much of the internet is fake? Studies generally suggest that, year after year, less than 60 percent of web traffic is human; some years, according to some researchers, a healthy majority of it is bot. For a period of time in 2013, the Times reported this year, a full half of YouTube traffic was “bots masquerading as people,” a portion so high that employees feared an inflection point after which YouTube’s systems for detecting fraudulent traffic would begin to regard bot traffic as real and human traffic as fake. They called this hypothetical event “the Inversion.”

In the future, when I look back from the high-tech gamer jail in which President PewDiePie will have imprisoned me, I will remember 2018 as the year the internet passed the Inversion, not in some strict numerical sense, since bots already outnumber humans online more years than not, but in the perceptual sense. The internet has always played host in its dark corners to schools of catfish and embassies of Nigerian princes, but that darkness now pervades its every aspect: Everything that once seemed definitively and unquestionably real now seems slightly fake; everything that once seemed slightly fake now has the power and presence of the real. The “fakeness” of the post-Inversion internet is less a calculable falsehood and more a particular quality of experience — the uncanny sense that what you encounter online is not “real” but is also undeniably not “fake,” and indeed may be both at once, or in succession, as you turn it over in your head. Read more.

Deep Fakes: Down the Horrifying Rabbit Hole

On the topic of our tenuous collective relationship with the concept formerly known as “truth,” this examination of “deep fakes,” high-tech simulated video recordings of people you recognize doing things they’ve never actually done, may be the most frightening and portentous emerging story of 2018. And that’s saying a mouthful.


“You thought fake news was bad? Deep fakes are where truth goes to die”
by Oscar Schwartz
November 12, 2018
The Guardian

Fake videos can now be created using a machine learning technique called a “generative adversarial network”, or a GAN. A graduate student, Ian Goodfellow, invented GANs in 2014 as a way to algorithmically generate new types of data out of existing data sets. For instance, a GAN can look at thousands of photos of Barack Obama, and then produce a new photo that approximates those photos without being an exact copy of any one of them, as if it has come up with an entirely new portrait of the former president not yet taken. GANs might also be used to generate new audio from existing audio, or new text from existing text – it is a multi-use technology.

The use of this machine learning technique was mostly limited to the AI research community until late 2017, when a Reddit user who went by the moniker “Deepfakes” – a portmanteau of “deep learning” and “fake” – started posting digitally altered pornographic videos. He was building GANs using TensorFlow, Google’s free open source machine learning software, to superimpose celebrities’ faces on the bodies of women in pornographic movies.

A number of media outlets reported on the porn videos, which became known as “deep fakes”. In response, Reddit banned them for violating the site’s content policy against involuntary pornography. By this stage, however, the creator of the videos had released FakeApp, an easy-to-use platform for making forged media. The free software effectively democratized the power of GANs. Suddenly, anyone with access to the internet and pictures of a person’s face could generate their own deep fake. Read more.