New algorithms could reduce polarization driven by information overload

As the volume of available information expands, the fraction a person is able to absorb shrinks. They end up retreating into a narrow slice of thought, becoming more vulnerable to misinformation, and polarizing into isolated enclaves of competing opinions. To break this cycle, computer scientists say we need new algorithms that prioritize a broader view over fulfilling consumer biases.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3far8qI
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