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By Melanie Lefkowitz |
Mobile phone dating apps that enable users to filter their queries by competition – or depend on algorithms that pair up folks of the same race – reinforce racial divisions and biases, based on an innovative new paper by Cornell scientists.
As increasingly more relationships start online, dating and hookup apps should discourage discrimination by providing users categories apart from competition and ethnicity to spell it out by themselves, publishing comprehensive community communications, and writing algorithms that don’t discriminate, the writers stated.
“Serendipity is lost whenever individuals have the ability to filter other individuals away, ” said Jevan Hutson ‘16, M.P.S. ’17, lead writer of “Debiasing Desire: handling Bias and Discrimination on Intimate Platforms, ” co-written with Jessie G. Taft ’12, M.P.S. ’18, a study coordinator at Cornell Tech, and Solon Barocas and Karen Levy, assistant professors of data science. “Dating platforms are able to disrupt specific structures that are social however you lose those advantages when you’ve got design features that enable you to definitely eliminate folks who are diverse from you. ”
The paper, that the writers will show during the ACM Conference on Computer-Supported work that is cooperative Social Computing on Nov. 6, cites current research on discrimination in dating apps sjust howing just how easy design choices could decrease bias against individuals of all marginalized groups, including disabled or transgender individuals. Continue reading “Cornell Chronicle. Mobile phone apps that are dating enable users to filter their queries by battle”