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Last week we celebrated a huge 
milestone, the launch of the 

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Centennial World Podcast 
Network, and we couldn't have 

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A massive thank you to Tempest 
One for keeping the support 

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going and sponsoring this week's
episode of Infinite Scroll. 

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If you haven't tried Tempest 1 
yet, consider this your sign. 

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And as always, drink 
responsibly. 

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Whether social media is your 
job, you post casually or simply

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lurk on various platforms, we 
all interact with quote UN quote

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viral content. 
For those of us who work in the 

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industry, we chase virality. 
And for those of us who consume 

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content online, we often stumble
across content that we deem as 

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viral. 
But in 2025, is virality even 

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real anymore? 
What one of us deems as viral, 

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another person may have never 
seen online. 

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It's safe to say that over the 
past decade, the digital 

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landscape has experienced a 
seismic shift. 

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It's no longer good enough for 
creators and other social media 

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professionals to have steady 
audience and social growth. 

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Brands, creators and publishers,
for instance, are now expected 

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to manufacture viral moments 
consistently. 

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And that's because virality is 
largely seen as the path to 

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success for brand accounts 
online, it's often considered 

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the answer to brand awareness, 
the answer to social growth, the

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answer to all PR and marketing, 
the answer to generating sales. 

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And for creators, it's similar. 
Virality kicks off a career, but

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can also sustain it. 
Going viral introduces creators 

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to new audiences, allowing them 
to grow their following 

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consistently. 
In an era where growth and 

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engagement are paramount for 
sustainability, it's no surprise

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virality has become the pursuit.
We have seen how much success 

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can come off the back of a truly
viral piece of content. 

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Take Brittany Broski, for 
example. 

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She managed to parlay her viral 
kombucha taste test moment into 

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a fully fledged influencer 
career. 

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Over the past five years or so, 
she has launched a podcast, an 

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interview show, appeared on red 
carpets, and even dipped her toe

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into music. 
That said, Brittany Broski, 

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along with many others, have 
managed to use virality as a 

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stepping stone to influence 
certain. 

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But while virality may have been
one of the answers to our 

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problems at some point, times 
have changed, and they've 

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changed fast. 
This is an exploration into the 

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myth of virality, how and why 
online culture has evolved so 

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much over the past decade, 
bringing us to a place in 2025 

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where quote UN quote virality is
a pursuit not worth the chase 

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from Centennial World. 
I'm Lauren Meisner and this is 

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Infinite Scroll, a podcast about
Internet culture, the creator 

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economy and how social media is 
shaping Gen. 

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Z. 
Welcome back to Infinite Scroll,

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everyone. 
OK, so I have been doing these 

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keynote speeches on like the 
quote UN quote myth of virality 

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across Sydney and Melbourne and 
we decided to build this out 

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into a full-fledged episode for 
you guys. 

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So that is where this is pulled 
from. 

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Obviously, we've built it out 
into a more like consumer 

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focused episode or like content 
as opposed to like industry 

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focused. 
But yes, this is like a little 

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taste of what you get from me 
when we do consulting, 

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presentations, public speaking. 
So before I get into it, as 

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always, Please remember to rate,
review and subscribe. 

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Please sign up to our 
newsletter, also called Infinite

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scroll. 
On Fridays. 

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We round up the five biggest 
thing pieces on the Internet 

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from that week. 
And we are still trying to get 

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to 1000 Spotify reviews. 
So please star rate US on 

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Spotify. 
To put it frankly, the concept 

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of virality doesn't really exist
anymore, at least not in the way

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that it used to. 
Over the past several years, 

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Internet historians and tech 
journalists have been 

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documenting the impact of viral 
content and how the concept of 

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virality itself is changing. 
Many have come to the conclusion

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that the concept of virality has
been watered down significantly.

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What we have seen is that 
virality now in 2025, will 

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rarely produce a monolithic cut 
through that we hope for. 

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It's difficult to measure. 
It's unpredictable and fleeting.

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And it has become even more 
challenging to control the 

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narrative and outcomes around 
viral content. 

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As Taylor Lorenz writes for The 
Washington Post quote, the 

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volume of content being churned 
out every day has skyrocketed. 

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The life cycle of each piece of 
media has grown shorter, and 

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social media platforms continue 
to inflate public metrics, 

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devaluing previously impressive 
online stats. 

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All of these factors have 
rendered the term viral nearly 

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meaningless, say experts, and 
have led to a condition we call 

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viralflation. 
The phenomenon of viralflation 

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has made it difficult for 
brands, creators, and users 

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alike to tell what is actually 
viral. 

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Aside from the factors that 
Lorenz mentioned, another key 

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aspect behind viralflation is 
how fragmented the digital 

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landscape has become, and this 
is largely because of the death 

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of monoculture. 
Of course, we have discussed 

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monoculture and its decline 
before on this podcast, but as a

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brief refresher, the term 
monoculture essentially refers 

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to the monolithic version of pop
culture that was dictated by 

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charts, award shows, and 
publications. 

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It was how the world experienced
pop culture for decades. 

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During this time, sharing of 
online content once there 

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eventually was online content 
was largely manual and there was

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a bigger discrepancy between 
viral content and everything 

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else. 
Thinking back to the 2000s and 

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early 20 tens before algorithms 
really took over, there were 

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multiple viral moments that 
pretty much everyone one would 

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know. 
Think specific moments like 

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Friday by Rebecca Black, the 
Grumpy Cat meme, or videos like 

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David After Dentist and Charlie 
Bit My Finger. 

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Millennials even had phenomena 
like Salad Fingers, an animated 

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web series centering around a 
character with the same name who

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was a slender green creature who
frequently talked about his love

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of rusty spoons. 
This series debuted on new 

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grounds and entertainment 
platform that hosted user 

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generated content spanning 
categories including games, 

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movies, audio, and art. 
Salad Fingers was released on 

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YouTube one year later in 2005. 
Salad Fingers was definitely 

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niche at first, originating in a
specific corner of the Internet,

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as Tom Waite put it for days. 
Quote. 

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For many, the animated series 
served as an introduction to the

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weird side of the Internet, 
where films that wouldn't fly on

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mainstream channels were allowed
to flourish via sites such as 

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New Grounds and YouTube. 
But Even so, it managed to 

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breakthrough the mass amounts of
users. 

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Alex Hearn for The Guardian in 
2000 15 even described the 

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series as quote, one of the 
first Flash animations that went

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fully viral, inhabiting normal 
pop culture as well as the weird

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Internet one. 
This was largely unprecedented 

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for digital culture and 
especially for content that was 

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considered quote UN quote weird.
And even though online culture 

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has become increasingly 
intertwined with the mainstream,

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some of the most popular weird 
content today would not be 

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elevated in the same way, 
largely because of the sheer 

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amount of weird content that is 
out there. 

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Having said that, there 
definitely are still viral 

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moments and universal reference 
points online. 

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Skippity Toilet is one such 
example. 

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But these moments are becoming 
few and far between, and happen 

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less frequently than you might 
think. 

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And that's because our 
experiences online have become 

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increasingly siloed. 
A fragmented intranet means that

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everyone's essentially on their 
own side of the intranet, 

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whether that be book talk, water
talk, food talk, or even more 

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niche communities like Dong Wan 
Jinlong's industrial grade 

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Glycine. 
IF you know, you know. 

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As academics Jessica Maddox and 
Fiona Gill explain Quote. 

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Sides of. 
TikTok is a platform vernacular 

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created and adopted by users to 
describe their experiences 

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engaging with algorithmically 
curated similar types of content

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as well as the subsequent 
collectives forming around them.

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This really took off in 2020. 
If you cast your mind back to 

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the early days of COVID-19, when
many new users join the 

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platform, there was a 
significant divide between what 

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people defined as straight and 
Alt TikTok. 

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Straight TikTok was considered 
to be the home of TikTok dances 

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and arguably cringy lip syncs. 
For a long time, creator 

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collectives like the Hype House 
and the Sway House were 

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considered the faces of this 
side of TikTok. 

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By contrast, Alt TikTok, which 
was short for Alternative 

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TikTok, typically included 
videos referencing specific 

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memes and audios. 
When this divide was at its 

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peak, sound circulated that 
encouraged users to check which 

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side of the Internet they were 
on by seeing if they recognized 

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various audios. 
This was often about trolling 

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straight TikTok users and 
gatekeeping the content coming 

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out of Alt TikTok. 
Of course, there was and is far 

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more to straight and Alt TikTok,
but what this divide shows us is

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just how personalized and 
passive online content 

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consumption has become. 
As Crystal Andrews writes for Z 

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Feed Quote, digital platforms 
have made entertainment and 

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culture very personalized, 
driven by algorithms that know 

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you better than you know 
yourself. 

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Social media has become 
entertainment where you can 

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watch the daily insurance and 
outs of a girl on the other side

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of the world, like a tiny 
reality TV show that only you 

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and 4000 others know about. 
With algorithm driven platforms,

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we no longer have to open 
browsers and type in the names 

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of blogs, websites or publishers
anymore to read their latest 

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content. 
We don't even open social media 

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and go to our following or 
subscription tabs. 

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Content is virtually presented 
to us on a silver platter. 

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It doesn't have to be viral. 
It doesn't even have to be 

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popular, it just has to fit our 
algorithmic profile. 

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And Gen. 
Z and Gen. 

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Alpha love this. 
Well, they may not love it, but 

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they also don't know anything 
different. 

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New research by Deloitte in the 
US found that 60% of Gen. 

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Z respondents prefer user 
generated content because this 

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content is served to them by 
recommendation pages and 

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algorithms. 
In other words, they don't have 

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to spend time searching for the 
content themselves, and they 

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clearly don't want to. 
Ultimately, this reliance on 

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algorithmic recommendations has 
resulted in a more divided 

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intranet with a less opportunity
for content to have that 

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monolithic cut through. 
It has also made it extremely 

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difficult to measure virality. 
This I'm sure comes as no 

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00:10:33,720 --> 00:10:35,880
surprise. 
We've all had conversations with

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friends where we reference 
something quote UN quote viral 

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and they have no idea what we're
talking about. 

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And that leads us to another 
reason why virality is difficult

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to measure, because it's become 
a catch all term to mean 

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something that everyone's 
talking about, but only everyone

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who's on my corner of the 
Internet. 

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Now, this isn't necessarily a 
bad thing. 

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The emergence of different 
corners of the Internet and the 

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democratization of virality 
within these spaces have 

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undoubtedly allowed for a more 
diverse creator landscape. 

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But there is a downside, as 
Taylor Lorenz continues for the 

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00:11:09,720 --> 00:11:13,080
Washington Post quote, because 
we no longer have any shared 

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00:11:13,080 --> 00:11:16,200
sense of virality, it makes it 
easier for people who don't 

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00:11:16,200 --> 00:11:20,160
understand the mechanics of the 
Internet to fall for fake viral 

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00:11:20,160 --> 00:11:22,960
trends. 
As a result, various brands have

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00:11:22,960 --> 00:11:26,960
attempted to manufacture viral 
buzz over products which were 

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00:11:26,960 --> 00:11:30,600
not actually viral. 
The best example of this is the 

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00:11:30,600 --> 00:11:33,560
Athenas Feta soup saga. 
We have discussed this before on

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00:11:33,560 --> 00:11:36,360
the podcast, but for those who 
don't remember, in November 

220
00:11:36,360 --> 00:11:39,920
2023, some major food 
influencers started posting 

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about an allegedly viral feta 
and butternut squash soup. 

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00:11:43,840 --> 00:11:46,120
Emily Mariko was one such 
creator. 

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This caught the attention of 
social media consultant Rachel 

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Carton. 
When Carton looked into this 

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00:11:50,920 --> 00:11:54,520
quote UN quote viral recipe, she
found that at the time, there 

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were only 19 posts on Instagram 
and 14 posts on TikTok. 

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Clearly not viral, Carton 
ultimately came to the 

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00:12:01,920 --> 00:12:06,080
conclusion that Athena Speta had
commissioned influencers to make

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00:12:06,080 --> 00:12:09,320
the soup seem like a thing, when
really it wasn't. 

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After some digging, Carton 
claimed that the first post 

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about the feta and butternut 
squash soup was a real by at 

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Grilled Cheese's Social, an 
influencer named Mackenzie 

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Smith. 
With over 700,000 Instagram 

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followers, this post was also in
partnership with Athenos Feta. 

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Carton suggested that the brand 
chose Smith for authenticity, 

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pointing to her previous success
in popularizing the tomato feta 

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pasta in 2021. 
So when you have creators 

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telling their millions of 
followers that something with 14

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posts is viral, you can see how 
hard it's become to measure 

240
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quote UN quote virality. 
Just because people are calling 

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something viral doesn't mean it 
actually is. 

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It could be popular on their 
corner of the Internet, or it 

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could be a completely 
manufactured moment like the 

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Athena feta saga. 
In some ways, social media 

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platforms have even given these 
manufactured viral moments a 

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stamp of approval. 
In recent years, we have seen 

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the rise of vanity metrics 
within online content. 

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Vanity metrics are typically 
considered impressive data 

249
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points, but often don't convert 
into a real return on 

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investment. 
In this context, it may mean 

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00:13:16,680 --> 00:13:19,880
that a brand has a video that 
goes viral but fails to convert 

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00:13:19,880 --> 00:13:22,560
into sales, brand awareness, or 
loyalty. 

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Platforms feed into this by 
inflating views and engagement. 

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Many social media professionals 
believe that this is 

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particularly true of TikTok. 
While it's fair to assume that 

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some brands boost their content 
on social media platforms to 

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meet specific targets, that 
doesn't mean that social media 

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users don't notice and that 
their content is actually viral.

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00:13:42,040 --> 00:13:44,720
For years, there has been 
discussion on Reddit about 

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whether TikTok specifically 
inflates views. 

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For example, 1 user took to the 
R slash TikTok gossip subreddit 

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00:13:51,560 --> 00:13:54,640
in 2022 saying quote. 
It seems like TikTok is 

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00:13:54,640 --> 00:13:58,000
inflating its views slash likes 
slash follower numbers. 

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Soon Reddit users started 
speculating in the comments 

265
00:14:01,040 --> 00:14:04,080
about why it benefits the 
platform and creators and what 

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00:14:04,080 --> 00:14:06,960
tipped them off. 
As one user wrote, quote comment

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00:14:06,960 --> 00:14:09,320
counts are inflated almost every
single video. 

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Next time you're on TikTok and 
you scroll to a new video, take 

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00:14:12,400 --> 00:14:14,880
note of the number of comments 
before loading them. 

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Then open the comments and the 
number of comments almost always

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00:14:18,360 --> 00:14:21,640
goes significantly down. 
Could be the result of comments 

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00:14:21,640 --> 00:14:24,280
getting filtered or sent, but I 
don't know. 

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The user continues by pointing 
to bots as potentially one of 

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00:14:27,440 --> 00:14:30,600
the reasons why these views and 
engagement are inflated on 

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TikTok. 
Of course, this topic frequently

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00:14:33,520 --> 00:14:36,520
comes up online with the 
discourse around the dead 

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00:14:36,520 --> 00:14:40,800
Internet theory, a belief that 
most content online is generated

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00:14:40,800 --> 00:14:43,240
by AI bots instead of human 
beings. 

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00:14:43,440 --> 00:14:45,160
The Reddit user continues. 
Quote. 

280
00:14:45,200 --> 00:14:48,120
I'm unsure if the problem with 
bots on TikTok comes from the 

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00:14:48,120 --> 00:14:51,120
company themselves or from 
creators who buy view slash 

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00:14:51,120 --> 00:14:53,200
comments. 
I'd have to think it's likely 

283
00:14:53,200 --> 00:14:55,600
both. 
TikTok is surely allowing it. 

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00:14:55,720 --> 00:14:59,080
It's so clear that a huge amount
of bots are on the app liking 

285
00:14:59,080 --> 00:15:02,520
random comments and videos to 
make people think their content 

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00:15:02,520 --> 00:15:05,560
is being seen. 
With Tik Tok's algorithm and 

287
00:15:05,560 --> 00:15:09,200
analytics being relatively 
secretive and also confusing to 

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00:15:09,200 --> 00:15:12,080
the average social media user, 
many people have gone on to 

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00:15:12,080 --> 00:15:15,880
believe that various TikTok 
first creators virality is 

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00:15:15,880 --> 00:15:19,440
manufactured by the app. 
Over the years, Bella Porch has 

291
00:15:19,440 --> 00:15:22,080
repeatedly faced such 
allegations. 

292
00:15:22,320 --> 00:15:25,720
For those unfamiliar with Bella 
Porch, she found viral fame in 

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00:15:25,720 --> 00:15:29,400
mid 2020 for her quirky 
rendition of Millie BS M to the 

294
00:15:29,400 --> 00:15:31,880
B. 
This video became the most liked

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00:15:31,880 --> 00:15:35,400
video on TikTok within a matter 
of weeks and still holds that 

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00:15:35,400 --> 00:15:36,960
title. 
Although the video of Leah 

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00:15:36,960 --> 00:15:40,600
Halton lip syncing in her car is
a contender to take that spot. 

298
00:15:40,840 --> 00:15:43,960
Known for her childlike facial 
expressions while lip syncing, 

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00:15:44,000 --> 00:15:47,160
Bella seemingly captivated 
millions who just couldn't look 

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away. 
She has since gone on to launch 

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00:15:49,080 --> 00:15:50,880
a music career. 
Though Bella has been 

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00:15:50,880 --> 00:15:54,400
objectively successful, users 
first question the legitimacy of

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00:15:54,400 --> 00:15:57,600
her virality. 
For instance, 1 TikTok user took

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00:15:57,600 --> 00:15:59,600
to the platform last year 
writing quote. 

305
00:15:59,600 --> 00:16:02,760
Tell me why Bella Porch gets 
millions of views but nobody 

306
00:16:02,760 --> 00:16:05,920
talks about her? 
Her comment sections are 99% 

307
00:16:05,920 --> 00:16:08,320
bots. 
Is she even real or is it just a

308
00:16:08,320 --> 00:16:10,760
corporation pumping money out of
her? 

309
00:16:10,920 --> 00:16:13,560
We are likely never going to 
know the mechanics of Bella 

310
00:16:13,560 --> 00:16:16,280
Porch's fame. 
But we do know, as I alluded to 

311
00:16:16,280 --> 00:16:18,760
earlier, that platforms inflate 
views. 

312
00:16:18,880 --> 00:16:22,240
Many experts have argued that a 
view barely counts as a view 

313
00:16:22,240 --> 00:16:25,120
these days, and what I mean by 
that is that if you may be 

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00:16:25,120 --> 00:16:28,680
counted even if a user barely 
engages with the video. 

315
00:16:28,880 --> 00:16:32,640
In a recent edition of User Mag,
Taylor Lorenz explains that it 

316
00:16:32,640 --> 00:16:35,520
was Facebook that lowered the 
threshold for what could be 

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00:16:35,520 --> 00:16:38,280
considered a view. 
As she explains quote. 

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00:16:38,280 --> 00:16:41,360
According to a lawsuit filed 
against Facebook in California 

319
00:16:41,360 --> 00:16:44,720
federal court in 2016, 
viewership metrics on some 

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00:16:44,720 --> 00:16:48,960
videos had been artificially 
increased by up to 900%. 

321
00:16:49,120 --> 00:16:53,920
In 2019, Facebook settled the 
claim for 40, $1,000,000. 

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00:16:54,080 --> 00:16:57,360
She continues by noting that 
TikTok took this to an entirely 

323
00:16:57,360 --> 00:17:01,240
new level, where quote A view on
TikTok is simply an impression, 

324
00:17:01,320 --> 00:17:04,520
meaning the video was served to 
a user for at least a fraction 

325
00:17:04,520 --> 00:17:07,760
of a second on screen. 
According to the company, TikTok

326
00:17:07,760 --> 00:17:11,640
also counts each loop of a video
as a view, allowing videos to 

327
00:17:11,640 --> 00:17:15,800
rake in massive view counts. 
Lorenz characterizes the current

328
00:17:15,800 --> 00:17:19,280
digital landscape as an arms 
race over which platform can 

329
00:17:19,280 --> 00:17:22,079
inflate views the most, and she 
is probably right. 

330
00:17:22,200 --> 00:17:25,359
YouTube has recently announced 
that it is changing how YouTube 

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00:17:25,359 --> 00:17:28,720
Shorts views are counted. 
Historically, views on YouTube 

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00:17:28,720 --> 00:17:31,440
Shorts were counted after a 
video was watched for a number 

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00:17:31,440 --> 00:17:35,000
of seconds, but now Shorts views
will also include the number of 

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00:17:35,000 --> 00:17:38,280
times a video automatically 
plays or replays. 

335
00:17:38,360 --> 00:17:41,640
This, in turn, will increase the
number of views dramatically. 

336
00:17:41,680 --> 00:17:44,600
Quote With this update, YouTube 
Shorts will now align its 

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00:17:44,600 --> 00:17:48,000
metrics with those of TikTok and
Instagram Reels, both of which 

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00:17:48,000 --> 00:17:50,800
track the number of times your 
video starts or replays. 

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00:17:51,000 --> 00:17:54,040
YouTube notes that creators will
now be able to better understand

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00:17:54,040 --> 00:17:57,240
how their short form videos are 
performing across multiple 

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00:17:57,240 --> 00:17:59,600
platforms. 
Aisha Malik writes for Fast 

342
00:17:59,600 --> 00:18:01,800
Company. 
While updates like this might 

343
00:18:01,800 --> 00:18:05,520
incentivize creators to post on 
the platform and almost provide 

344
00:18:05,520 --> 00:18:09,240
a sense of legitimacy to 
content, it is a move that also 

345
00:18:09,240 --> 00:18:12,360
completely dilutes what it means
to go viral. 

346
00:18:12,520 --> 00:18:15,520
Another example of a 
manufactured viral moment, while

347
00:18:15,520 --> 00:18:18,680
not as egregious as the feta 
soup saga, was when the term 

348
00:18:18,680 --> 00:18:22,720
chewy gained popularity online. 
The term entered the popular 

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00:18:22,840 --> 00:18:26,440
vernacular in 20/21. 
It was allegedly coined by 23 

350
00:18:26,440 --> 00:18:30,200
year old software developer 
Gabby Rassen in 2013, but 

351
00:18:30,200 --> 00:18:34,040
started going viral in a TikTok 
posted by Hallie Kane on March 

352
00:18:34,040 --> 00:18:37,840
30th, 2021. 
In her TikTok, Hallie nominates 

353
00:18:37,840 --> 00:18:41,200
choogie as the word to describe 
quote the type of person who 

354
00:18:41,200 --> 00:18:45,360
gets married at 20 or has quote 
millennial girl boss energy. 

355
00:18:45,520 --> 00:18:49,080
Know Your Meme at the time 
described choogie as the quote 

356
00:18:49,080 --> 00:18:52,760
intersection of millennial, girl
boss and out of style cringe. 

357
00:18:53,160 --> 00:18:56,400
The New York Times pointed out 
that it is different from basic,

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00:18:56,400 --> 00:18:59,600
which alludes to conformism or 
people who are generic in their 

359
00:18:59,600 --> 00:19:01,760
tastes. 
They suggested that choogie is 

360
00:19:01,760 --> 00:19:04,760
not necessarily a negative 
descriptor, but just refers 

361
00:19:04,760 --> 00:19:07,960
broadly to someone who tries too
hard or is out of date. 

362
00:19:07,960 --> 00:19:11,480
Soon, the conversation online 
became about what is and what 

363
00:19:11,480 --> 00:19:14,640
isn't choogie, with the likes of
Harry Potter, Live Laugh, Love 

364
00:19:14,640 --> 00:19:17,800
Signs, and Disney Adults falling
into the former. 

365
00:19:17,880 --> 00:19:20,640
What was strange about this 
conversation was that it was 

366
00:19:20,640 --> 00:19:23,920
predominantly millennials 
engaging in it and using the 

367
00:19:23,920 --> 00:19:25,800
word. 
Ironically, many of them 

368
00:19:25,800 --> 00:19:27,800
believed that choogie was a term
Gen. 

369
00:19:27,800 --> 00:19:30,680
Z was using to describe them, 
where they seemingly were trying

370
00:19:30,680 --> 00:19:32,520
to stay up to date with the 
latest slang. 

371
00:19:32,640 --> 00:19:35,480
But when you ask Gen. 
Z what choogie was and whether 

372
00:19:35,480 --> 00:19:38,880
they used the word, most would 
have been unfamiliar with it. 

373
00:19:38,960 --> 00:19:41,160
Now the point here is not to 
hate on millennials. 

374
00:19:41,440 --> 00:19:44,760
I'm a millennial myself. 
Or issue an opinion on what is 

375
00:19:44,760 --> 00:19:47,200
or isn't Choogie. 
But instead it's just show 

376
00:19:47,200 --> 00:19:50,360
another instance of supposed 
virality among Gen. 

377
00:19:50,360 --> 00:19:52,760
Z when this actually wasn't the 
case at all. 

378
00:19:52,960 --> 00:19:56,440
While Chewie had a moment of 
popularity online and some may 

379
00:19:56,440 --> 00:20:00,640
even say virality, the context 
was entirely lost on many social

380
00:20:00,640 --> 00:20:03,640
media users. 
In turn, no one understood who 

381
00:20:03,640 --> 00:20:05,840
was using the term, let alone 
why. 

382
00:20:05,960 --> 00:20:07,800
And that brings us to my next 
point. 

383
00:20:07,800 --> 00:20:11,080
The struggle to measure virality
is heightened by the fact that 

384
00:20:11,080 --> 00:20:14,520
these moments have become 
completely unpredictable and 

385
00:20:14,520 --> 00:20:16,880
fleeting. 
Despite what social media gurus 

386
00:20:16,880 --> 00:20:20,760
and experts may tell us, there 
is no surefire way to go viral. 

387
00:20:20,880 --> 00:20:22,720
There are definitely things you 
can do that may. 

388
00:20:22,840 --> 00:20:26,640
Help your chances, but virality 
is so unpredictable on such a 

389
00:20:26,640 --> 00:20:30,200
big and fragmented Internet. 
With that, the speed at which 

390
00:20:30,200 --> 00:20:33,360
the trend cycle now moves is 
unlike anything we've seen 

391
00:20:33,360 --> 00:20:35,600
before. 
If you don't catch a viral trend

392
00:20:35,600 --> 00:20:38,040
within the first 48 hours, we've
moved on. 

393
00:20:38,120 --> 00:20:41,360
Because of this, there's not a 
lot of recognition that comes 

394
00:20:41,360 --> 00:20:45,120
with virality now, as we can all
tell by the Athena Sveta saga. 

395
00:20:45,320 --> 00:20:48,560
This in turn, has made it 
difficult to trace the origins 

396
00:20:48,560 --> 00:20:51,640
of a viral piece of content. 
Our passive consumption habits 

397
00:20:51,680 --> 00:20:54,960
mean we scroll without a lot of 
thought as to the brand or 

398
00:20:54,960 --> 00:20:57,120
creator behind posting this 
content. 

399
00:20:57,160 --> 00:21:01,040
And even when we do obtain that 
recognition, it's fleeting again

400
00:21:01,040 --> 00:21:02,880
because of the pace of the trend
cycle. 

401
00:21:03,040 --> 00:21:06,200
By this point, I think we've 
established that the Internet is

402
00:21:06,200 --> 00:21:09,280
extremely fragmented, but this 
is where I should make a quick 

403
00:21:09,280 --> 00:21:11,960
caveat. 
There can be specific viral 

404
00:21:11,960 --> 00:21:15,280
moments that cross niches 
online, but with the downfall of

405
00:21:15,280 --> 00:21:19,920
monoculture, there will probably
never be one viral moment that 

406
00:21:19,920 --> 00:21:23,040
the whole Internet will consider
viral again. 

407
00:21:23,280 --> 00:21:26,120
And while you may hope to be one
of the few brands that can 

408
00:21:26,120 --> 00:21:29,760
cultivate one of these moments, 
it does come with risk. 

409
00:21:29,880 --> 00:21:33,640
Anytime we post anything online,
we essentially lose control of 

410
00:21:33,640 --> 00:21:36,760
the narrative around that piece 
of content, especially if it 

411
00:21:36,760 --> 00:21:39,080
goes viral. 
We can't control how other 

412
00:21:39,080 --> 00:21:42,520
people will interpret it or 
misinterpret it, as the Internet

413
00:21:42,520 --> 00:21:44,680
so often does. 
And unlike other forms of 

414
00:21:44,680 --> 00:21:47,960
publishing, when it comes to 
posting on social media, we 

415
00:21:47,960 --> 00:21:51,520
can't control how others will 
repurpose this content either. 

416
00:21:51,800 --> 00:21:55,280
Recently we've we've seen an 
uptick in brands sharing UGC 

417
00:21:55,280 --> 00:21:57,400
content from within the 
workplace. 

418
00:21:57,400 --> 00:22:01,000
This may be employees jumping on
trends, pranking their boss, or 

419
00:22:01,000 --> 00:22:04,520
even time stamping their tasks 
to share their average day on 

420
00:22:04,520 --> 00:22:06,480
the job. 
While there's no denying that 

421
00:22:06,480 --> 00:22:09,360
this may be entertaining and 
useful for many social media 

422
00:22:09,360 --> 00:22:12,920
users curious about the 
workforce, issues arise when we 

423
00:22:12,920 --> 00:22:16,000
consider how much of this 
content can be taken out of 

424
00:22:16,000 --> 00:22:19,360
context, putting brands and 
their employees at risk. 

425
00:22:19,520 --> 00:22:22,600
Now we did cover this on Mini 
Scroll at the time, but a case 

426
00:22:22,600 --> 00:22:25,880
in point is the Aussie brand TBH
Skin Care when they were 

427
00:22:25,880 --> 00:22:28,280
reposted by Andrew Tate on 
Twitter. 

428
00:22:28,400 --> 00:22:31,600
As a reminder, the TBH Skin Care
employees made a video 

429
00:22:31,640 --> 00:22:34,360
recreating the boots and a 
slicked back bun trend. 

430
00:22:34,480 --> 00:22:37,000
In the video, they chanted 
phrases like Gen. 

431
00:22:37,000 --> 00:22:40,280
Z boss and a mini itty bitty 
titties and a Bob new Frank 

432
00:22:40,280 --> 00:22:43,240
Green and a sneaky link. 
While some users dismissed the 

433
00:22:43,240 --> 00:22:46,600
video as a millennial corps, 
others joked that quote 

434
00:22:46,600 --> 00:22:49,080
marketing degrees should be more
expensive. 

435
00:22:49,240 --> 00:22:52,320
However, the criticism took a 
darker turn when the video 

436
00:22:52,320 --> 00:22:55,720
circulated on Twitter, where 
thousands of men began targeting

437
00:22:55,720 --> 00:22:58,560
the women involved. 
Andrew Tate, one of the most 

438
00:22:58,560 --> 00:23:02,520
dangerous men on this side of 
the Internet, saw it and posted 

439
00:23:02,520 --> 00:23:05,920
it with the caption quote If you
do not escape the matrix, women 

440
00:23:05,920 --> 00:23:09,360
like this will be your boss. 
Along with other misogynistic 

441
00:23:09,360 --> 00:23:11,920
claims. 
TBH handled this really well. 

442
00:23:11,960 --> 00:23:14,920
They're a small brand so they 
got in front of it immediately. 

443
00:23:14,960 --> 00:23:18,000
And I know the founder said that
the brand did see an increase in

444
00:23:18,000 --> 00:23:20,560
sales from this, but at what 
cost? 

445
00:23:20,600 --> 00:23:24,280
Her face and the faces of her 
employees are now forever on 

446
00:23:24,280 --> 00:23:27,600
Andrew Tate's Twitter, calling 
them names and exposing them to 

447
00:23:27,600 --> 00:23:31,760
his toxic manosphere followers. 
That's a dangerous place to be. 

448
00:23:32,000 --> 00:23:35,280
Now, this is an extreme case, 
but it's an example of how 

449
00:23:35,280 --> 00:23:38,560
little control we actually have 
around our content and our 

450
00:23:38,560 --> 00:23:41,760
narrative when something picks 
up traction, and how scary the 

451
00:23:41,760 --> 00:23:45,440
consequences of that can be. 
Now, all of what we just covered

452
00:23:45,440 --> 00:23:48,960
isn't necessarily to minimize 
the power of going viral. 

453
00:23:49,040 --> 00:23:51,800
As anyone who listens to this 
podcast knows, there are 

454
00:23:51,800 --> 00:23:55,080
countless case studies of 
creators, brands and publishers 

455
00:23:55,080 --> 00:23:57,880
who have found immense success 
from virality. 

456
00:23:58,120 --> 00:24:00,720
But gone are the days when the 
creator of a viral piece of 

457
00:24:00,720 --> 00:24:02,680
content found themselves on 
Ellen. 

458
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Viral inflation in the emergence
of an increasingly fragmented 

459
00:24:06,280 --> 00:24:10,100
Internet have given us a new 
online ecosystem where, quote UN

460
00:24:10,100 --> 00:24:13,160
quote, viral content doesn't 
mean what it used to mean. 

461
00:24:13,280 --> 00:24:17,000
And while that's not necessarily
a bad thing, it does require a 

462
00:24:17,000 --> 00:24:20,440
more in depth level of social 
media literacy to sift through 

463
00:24:20,440 --> 00:24:24,280
the bullshit when attempting to 
create or analyze quote UN quote

464
00:24:24,360 --> 00:24:28,440
viral content. 
So if chasing virality isn't the

465
00:24:28,440 --> 00:24:31,680
key to success online anymore, 
what should you do instead? 

466
00:24:31,880 --> 00:24:35,120
We charge for that. 
Infinite Scroll is a podcast 

467
00:24:35,120 --> 00:24:38,320
produced, presented and Co 
written by me, Lauren Meisner 

468
00:24:38,360 --> 00:24:41,320
for Centennial World. 
This episode was researched and 

469
00:24:41,320 --> 00:24:43,080
Co written by Annabelle and 
David. 

470
00:24:43,080 --> 00:24:46,240
Editing is by Danny Fenick for 
the last time. 

471
00:24:46,400 --> 00:24:49,360
Thank you Danny for all your 
hard work with us this year. 

472
00:24:49,360 --> 00:24:51,600
You really came through with the
deep dives. 

473
00:24:52,000 --> 00:24:54,520
I love you guys so, so much. 
Thank you for listening and I 

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00:24:54,520 --> 00:24:56,480
will talk to you next week. 
Bye.

