OkCupid Study: Camera Brand in Profile Pics Affects Attractiveness Ratings
A recent study by OkCupid reveals that the camera brand and model used in profile pictures can influence how users rate each other's attractiveness. Meanwhile, dating apps are harnessing data science to enhance matchmaking, with Tinder using date length to predict hookups. Younger users tend to connect with mutual friends, while older users bond over shared interests. The Harvard Business Review even dubbed data science the 'sexiest job of the 21st century'.
OkCupid's findings show that the make and brand of camera can subtly affect attractiveness ratings. Meanwhile, HowAboutWe is developing a recommendation algorithm for couples to explore new dates. In the United States, gay men predominantly use Grindr, Tinder, and MenNation, with Grindr known for location-based hookups and Tinder for broader LGBTQ+ connections, while MenNation caters to sexually active singles and couples seeking casual encounters.
Tinder's data scientists are using date length and other factors to predict hookups. Younger users on dating sites are more likely to connect with partners they share mutual friends with, indicating the importance of social networks. Data-driven dating apps tend to work best in densely populated areas with a high interest in casual dating. Interestingly, new relationships on Facebook spike on Valentine's Day, Christmas, and after weekends, suggesting a correlation between major social events and relationship status changes.
Online dating sites and apps are continually evolving, using data science to improve matchmaking and predict compatibility. While these platforms can help users avoid incompatible partners, they cannot guarantee chemistry in person. As seen with OkCupid's camera study and Tinder's date predictions, even seemingly minor details can influence user interactions and relationships in the digital dating world.
