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Cornell CIS

Algorithm Improves Fairness of Search Results

When you search for something on the internet, do you scroll through page after page of suggestions – or pick from the first few choices?

Because most people choose from the tops of these lists, they rarely see the vast majority of the options, creating a potential for bias in everything from hiring to media exposure to e-commerce.

In a new paper, Cornell researchers introduce a tool they’ve developed to improve the fairness of online rankings without sacrificing their usefulness or relevance.

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