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Recommendation algorithms might be making your entertainment boring, new research suggests
A recent study published in the Journal of Cultural Economics suggests that highly accurate content recommendation algorithms ...
Irina Raicu is the director of the Internet Ethics program (@IEthics) at the Markkula Center for Applied Ethics. Views are her own. Wired magazine’s “spiritual advice columnist,” Meghan O’Ghieblyn, ...
Nearly a year after Elon Musk first floated the idea of making Twitter's recommendation algorithm public, the company has posted the source code for its recommendation algorithm on GitHub. In a ...
Combat Antisemitism Movement study finds users engaging with mainstream self-improvement content are algorithmically exposed ...
One of the many promises Elon Musk made after taking over Twitter was that he would open source Twitter’s algorithm, something that the social media company notoriously kept private before his tenure.
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A team of researchers at universities in ...
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YouTube is now your choice, not the algorithm's. Watch your favorite videos like this.
YouTube Custom Feed: You'll now be able to control your own choices on YouTube. The recommendation system will no longer ...
These days, more and more people listen to music on streaming apps – in early 2020, 400 million people were subscribed to one. These platforms use algorithms to recommend music based on listening ...
New information about how various factors influence YouTube’s video recommendation algorithm is revealed by members of the team responsible for working on it. Having only been implemented in 2016, we ...
As you scroll through your Instagram feed, you might find many posts that are irrelevant or out of your interest. To fix this, Instagram has released a new feature that allows you to reset your ...
Mozilla just launched a site featuring 28 user-submitted stories, detailing incidents where YouTube’s recommendation algorithm served bizarre and horrifying videos the users had shown no interest in.
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