Add Yahoo as a preferred source to see more of our stories on Google. Can we trust the algorithms behind dating apps with our hearts? In this episode of ITK: Behind the Screens, our host Niamh Adkins ...

When my long-term relationship came to an end last year, I was morbidly curious to see what dating apps were like. I knew things weren’t good out there — I’d been reassured that I’d effectively got ...

In "The Equality Machine," an author and law professor examines the influence of algorithmic matching on the "meat market" of human companionship. Reading time 7 minutes Dating apps present an endless ...

A mathematical algorithm developed more than 60 years ago is powering FirstDate. Here’s how it finds “stable” matches.

A study finds that algorithms used by online dating platforms have popularity bias, meaning that they recommend more popular, attractive users over less popular, less attractive users. The researchers ...

Add Yahoo as a preferred source to see more of our stories on Google. Can we trust the algorithms behind dating apps with our hearts? Expert Liesel Sharabi breaks down how these algorithms are ...

In the era of artificial intelligence, dating apps have evolved beyond simple swipes and matches, introducing AI as a central feature in helping users find meaningful connections. While algorithms ...

While that may seem stupid at best and a devious violation of boundaries at worst, the belief that switching sexualities will increase one's chance of getting more likes is based on some common ...

Singapore is testing a government-backed matchmaking service for public officers aged 21 to 35.

If you’re on the search for love, you probably know all about online dating. With the increase in technology and AI tools, there’s an even greater chance of finding the right person on your favorite ...

A student-created matchmaking algorithm has taken Stanford University by storm, transforming campus social life as thousands of students eagerly await their weekly matches. Date Drop, a platform ...

The researchers evaluated data from over 240,000 users of a major online dating platform in Asia over three months. They found that a user’s chance of being recommended by the platform’s algorithm ...