TikTok's Pressure Machine Is Going Viral [Content Made Simple]
TikTok's Pressure Machine Is Going Viral [Content Made Simple]
Issue #271: Google data, a new app worth watching, and more.
TOP OF THE WEEK:
TikTok’s Pressure Machine Is Going Viral
Quote:
A growing number of musicians, authors and actors say their management is pushing them to find ways to go viral on TikTok, even if it requires faking a "viral moment."
Why it matters: Viral posts can be very effective for marketing, but for some artists, manufacturing those moments is a slippery slope.
Driving the news: Halsey, a Grammy Award-winning pop star, said Sunday on TikTok that their record label won't let them release a new song "unless they can fake a viral moment on TikTok."
Commentary:
I’ve seen a lot about this the last week or so, and it’s pretty sad, yet not at all surprising.
HITTING THE LINKS
Link #1: A Superwholock for every news cycle
A masterful newsletter examining the fandomization of everything.
The best example of this “everything is fandom” phenomenon is QAnon, which is Superwholock for seditious chiropractors and real estate agents who watch too much cable news, complete with their own grim DashCons where they stand for days in Dallas waiting for JFK Jr. to return from the dead and camp out in the parking lots of Trump rallies, selling each other homeopathic medicine and giving each other COVID.
An interesting turn in the surveillance capitalism world.
A group of 42 Democratic lawmakers urged Google CEO Sundar Pichai in a letter Tuesday to stop collecting and keeping unnecessary or non-aggregated location data that could be used to identify people seeking abortions.
The letter comes ahead of the anticipated reversal of Roe v. Wade, the Supreme Court case that protected the federal right to an abortion, after Politico published a draft opinion that would do just that. The court has not yet issued its final ruling, but the Chief Justice confirmed the draft was authentic.
Absolutely no way this could end poorly……….
Currently, the Yoti age estimation system can effectively identify the ages of 6 to 12-year-old users within 1.3 years, and those between 13 and 19 within 1.5 years, Yoti claims. After that, accuracy decreases. For 20 to 25-year-olds, it’s accurate within a range of 2.5 years. For 26 to 30-year-olds, it’s within an average of 3 years. But this accuracy could improve over time, as more analysis is performed.
THE FUNNY PART
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