MIRAGE NEWS – A study by Carnegie Mellon University and the University of Washington reveals that online dating app algorithms favor more popular, attractive users, impacting the chances of less popular users being recommended. The research, analyzing data from ~240K users of a major Asian dating platform, showed that a user's likelihood of being recommended increases with their average attractiveness score. Researchers propose increased transparency in how these algorithms function and call for more research into balancing user satisfaction, revenue objectives, and ethical considerations in algorithm design.
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