Monster Match, a game funded by Mozilla, shows how dating app algorithms reinforce bias—and serve the company more than the user.

For example, the more selective a user is, the more the algorithm might match that user to other selective users. Dating algorithms rank and cluster people, keeping the lower-ranked profiles ...

A new dating app game for monsters lets users examine the bias at work behind the scenes in dating app algorithms.

They use algorithms to make match recommendations using your data, which includes personal info (like location and age) as well as preferences you set and your app activity.

In a new study, I was interested in exploring how people’s perceptions of matching algorithms shape the development of their online dating relationships over time.

Algorithms and First Date Success In a new study, I was interested in exploring how people’s perceptions of matching algorithms shape the development of their online dating relationships over time.

Can we trust the algorithms behind dating apps with our hearts? Expert Liesel Sharabi breaks down how these algorithms are impacting our relationships.

When users believe the matching algorithm to be effective, they also tend to have better outcomes after meeting a match in person. A more sinister side of dating app algorithms emerges when race, ...

For example, given the commonplace rejection of black user profiles, algorithms that demote “less popular” users result in black profiles appearing less frequently.