How do recommendation algorithms shape what people see online?

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How do recommendation algorithms shape what people see online?

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How do platforms balance suggesting content you already like with introducing novel topics to prevent feed fatigue?

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Navigating the Explore-Exploit Trade-Off in Recommendations

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