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In 2016, young YouTuber Jimmy Donaldson dropped out of college to try to solve how a video goes viral on YouTube.
Dreamstime
Lucas Shaw and Mark Bergen
Bloomberg News Dec 31, 2020
Dec 31, 2020
In 2016, young YouTuber Jimmy Donaldson dropped out of college to try to solve how a video goes viral on YouTube. Dreamstime
In the fall of 2016, Jimmy Donaldson dropped out of college to try to solve one of the biggest mysteries in media: How exactly does a video go viral on YouTube? Donaldson, then 18, had been posting to the site since he was 12 without amassing much of an audience. But he was convinced he was close to unlocking the secrets of YouTubeâs algorithm, the black box of rules and processes that determines what videos get recommended to viewers.
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In the fall of 2016, Jimmy Donaldson dropped out of college to try to solve one of the biggest mysteries in media: how exactly does a video go viral on YouTube? Donaldson, then 18, had been posting to the site since he was 12 without amassing much of an audience. But he was convinced he was close to unlocking the secrets of YouTube s algorithm, the black box of rules and processes that determines what videos get recommended to viewers.
In the months that followed, Donaldson and a handful of his friends tried to crack the code. They conducted daily phone calls to analyse what videos went viral. They gave one another YouTube-related homework assignments, and they pestered successful channels for data about their most successful posts. I woke up, I studied YouTube, I studied videos, I studied filmmaking, I went to bed and that was my life, Donaldson recalled during a rece
Jimmy Donaldson s viral video helped give rise to one of the unlikeliest success stories on YouTube.
In the fall of 2016, Jimmy Donaldson dropped out of college to try to solve one of the biggest mysteries in media: How exactly does a video go viral on YouTube? Donaldson, then 18, had been posting to the site since he was 12 without amassing much of an audience. But he was convinced he was close to unlocking the secrets of YouTube s algorithm, the black box of rules and processes that determines what videos get recommended to viewers.
In the months that followed, Donaldson and a handful of his friends tried to crack the code. They conducted daily phone calls to analyze what videos went viral. They gave one another YouTube-related homework assignments, and they pestered successful channels for data about their most successful posts. I woke up, I studied YouTube, I studied videos, I studied filmmaking, I went to bed and that was my life, Donaldson recalled during a recent interview