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Another issue is that algorithms alone offer limited insights.
There are various other factors behind a tweet’s ranking. They include content that enters the platform, each user’s profile, the algorithms’ training data, moderation rules, and the code that trained the models.
These constitute an enormous pool of data, which would be tough to trawl through and costly to disseminate.
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MORE IDEAS ON THIS
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Further complexities arise from the mutability of the system.
“Typically, recommender models get re-trained pretty often and will keep changing over time,” Bindu Reddy, CEO and co-founder of Abacus.AI , an artificial intelligence startup, told TNW.
“...
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Of all the grand ideas that Elon Musk has for Twitter, the one that he’s pitched most fervently is making the platform’s algorithms open source.
The Tesla tycoon
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