Big Data Seeks Online Love [Infographic]
Online dating purports to combine both “data” and “science” to find you that perfect match. One in 10 Americans have used a dating site or mobile app, and 23 percent have met a spouse or long-term partner through these sites. In fact, 11 percent of American couples who have been together for 10 years or less met online. It’s no wonder—in addition to generic sites like Match.com, eHarmony, and OkCupid—the online dating world is rich with specialty sites for daters looking for a match based on a number of factors (e.g., income, biological traits, age, religion).
The industry still has a long way to go, however, especially when it comes to trust. A 2013 Pew study found that 54 percent of online daters felt someone had seriously misrepresented themselves in their profile. They’re not wrong; 81 percent of online daters reported inaccurate information about their weight, height, or age. They’re also apt to lie about their income and sexuality, and using out-of-date flattering photos is an all too common practice.
In this infographic, datascience@berkeley explores the past, present, and future of online dating. How do dating sites’ matching algorithms work? What data do users rely on when judging prospective dates? How can you optimize your profile to find that perfect match? Join us and watch as Big Data Seeks Online Love.
