Dating Algorithms: What Are They Really Optimizing?
summary
Examines dating-platform matching algorithms (recommendation and ranking systems) to measure how much social welfare is lost when platforms optimize for user engagement rather than finding the best matches. Uses theoretical models plus experiments with real people to quantify this incentive conflict and shows that competition between platforms can sometimes improve outcomes for users. Combines algorithmic analysis, ethics, and mathematical models applied to real-world digital platforms.
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chapters (9)
- 0:00Introduction
- 1:23Dating algorithms
- 3:08Dating algorithm paradox
- 6:23Theoretical model
- 11:45User experiments
- 17:23Algorithmic monopoly
- 21:20Q&A
- 31:12AI regulation
- 34:44Closing reflections
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