Instagram and Facebook will increase the number of AI-based recommendations to show you content from accounts you don’t follow.
While TikTok’s popularity is making people envious, Instagram is trying to up its game to get users to spend more time on Meta’s platform. These two applications are indeed competing for the top of the most downloaded applications.
It is therefore not surprising to see Instagram copying TikTok by pushing the Reels to the limit. But that’s not all. If you spend time on Instagram, you may have already seen how your news feed was giving more and more importance to accounts of influencers and influencers that you do not yet follow. If that already makes you cringe, then you’re probably not going to like Mark Zuckerberg’s recent announcement.
On Meta earnings call, Mark Zuckerberg says AI-driven recommendations from accounts you don’t follow is roughly 15% in Facebook and a “little more” in Instagram.
He says that percentage will more than double by the end of next year.
Huge departure from the social graph era.
— Alex Heath (@alexeheath) July 27, 2022
During a call with investors, the boss of Meta explained that recommendations based on artificial intelligence from accounts that you do not follow represent approximately 15% of the Facebook feed and a “ little moreon Instagram. And according to Alex Heath of the mediaThe VergeMark Zuckerberg aims to double these percentages by the end of next year.
Diversify content so you don’t get bored
Chances are you won’t be thrilled to hear such news. So one wonders why Meta thinks this is a good idea. The main goal seems to be to prevent people on the social network from getting progressively tired and no longer coming back to the app, or worse, being tempted to delete their Instagram account. To do this, the group seeks to rekindle your interest with new accounts that may interest you even if you are not subscribed to them.
In a way, that’s already what TikTok is doing. But on Instagram, where many users have taken the trouble to carefully select their subscriptions to have a tailor-made news feed, this strategy may not go over very well. This is the concern of recommendations based on AI: they are not always aimed correctly and we can end up seeing irrelevant content. Meta will have a lot to do to fine-tune its algorithms.
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