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Kris Jenner, Kendall Jenner, Kylie Jenner and Kim Kardashian on May 8, 2018 in New York City.
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Meta ends a test of his Instagram app that sparked the ire of many people, including famous sisters Kylie Jenner and Kim Kardashian.
Instagram chief Adam Mosseri told the Platformer newsletter on Thursday that it would roll back its recently released version of Instagram that primarily featured algorithmically recommended videos to users on their home screens.
Numerous Instagram users, including the Kardashian sisters, complained about Instagram’s test version, expressing frustration that the app openly copied rival TikTok and distanced itself from the roots of photo-sharing.
Mosseri then released a short video on Tuesday responding to critics, saying that photos will continue to play an important role for Instagram, but changing user habits favor video. In other words, Instagram will continue to push video as people share and like more videos in the app, he explained.
But apparently opposition to the test version of a video-focused Instagram led Mosseri and his team to temporarily change course.
“I’m glad we took a risk – if we don’t fail every once in a while, we’re not thinking big enough or bold enough,” Mosseri told Platformer. “But we definitely need to take a big step back and regroup.”
Still, Mosseri made it clear that Instagram will continue to increasingly focus on video, and that while it will temporarily reduce the number of algorithmically recommended videos people see, that number will rise again once the company feels it has improved the technology.
When Meta reported second-quarter earnings that beat Wall Street expectations, the company’s CEO, Mark Zuckerberg, told analysts during a phone call that he had “about 15% of the content in someone’s Facebook feed and slightly more than that.” in their Instagram feed is recommended by our AI or accounts you don’t follow.” Meta expects those numbers to “more than double by the end of next year,” he added, underlining the company’s reliance on using machine learning to figure out what material to show users.