In our Love App-tually series, Mashable shines a light into the foggy world of online dating. It is cuffing season after all. Match and eHarmony laid the online groundwork decades ago, but momentum built after the first iPhone was released in Grindr was founded two years later, Tinder in , and Bumble in
The CEO Behind Tinder, OkCupid on the Future of Online Dating
Futurists Predict What Online Dating Will Look Like in 10 Years | MEL Magazine
What the world needs is a page, three-pound humor anthology. Dating sites will continue to converge with social media. Programs on your phone will decide for you when and where to date—and also who, based on their browsing history. Your household appliances will tweet constantly about your relationship status—if they ever stop this, you will feel unaccountably melancholy. Compatibility analytics visualization software will become so trippy that many will elect to just stay indoors alone trying to game their Gregariosocial Lovescore Rank.
Online Dating’s King Describes How You’re Going to Date in 10 Years
A decade ago, when Mandy Ginsberg asked couples how they met, some would give a fictitious answer: In her nearly 13 years at Match Group Inc. Ginsberg has watched the stigma of online dating fade almost entirely. Today, many people even proudly pursue a multiapp dating strategy. The Dallas-based company is expanding in Latin America, Japan, South Korea and India to tap what it estimates is a market of million singles.
The study was commissioned by relationship site eHarmony. Increased affordability will allow more extensive research into this field, in turn giving us a clearer insight into how our own genetic make-up plays a role in physical and emotional attraction. Forget questionnaires where you have to do all of the work, your live reactions and online history will be analysed to feed computer algorithms designed to find you a compatible mate. Technology will be able to not only help decide who you should date, but people will start relying on smart technology such as big data and machine learning to influence long-term life decisions. These might be important questions like: